Top Data Science Jobs

Our mission at Street is to eliminate traffic crashes worldwide. https://www.streetsimplified.com/

We are looking for passionate technical team members who want to use their skills to make a difference.

At a high level, we have needs in the following areas:

- Data science - ingest 50 GB - 100 TB dataset and build out new capabilities

- Machine learning - build a model to predict event probability

- Deep learning - improving model performance given a massive unlabeled training dataset.

- Classical Computer Vision - extracting insight directly from images and videos

- Internal tool development - improving our data handling tooling

If you have experience in any of these 4 areas, please send in a proposal for review.

Location: on-site or remote (live in a time zone near UTC + 8)

Responsibilities

We're looking for a developer advocate and community builder who can bridge the relationship between our developers and diverse user base. Currently, we are applying cutting edge AI/LLM technology on both information retrieval and large language models to our high performance vector database. And we need YOU to spread our ideas and works to a larger community, for example LangChain. If you are enthusiastic on data science or vector database just as much as engaging conversation on these topics with a wide audience, this role is for you.

As a Developer Advocate at MyScale, you will:

* Design, write and create high-quality technical content such as blog posts, tutorials, documentation to educate and engage the developer community.

* Assist to manage and maintain a newsletter for current and prospective users.

* Work with engineering create technical content and improve SEO.

* Collaborate with our marketing team to improve community awareness of product features.

* Advocate for connecting LLM with vector database technology by contributing to open-source projects (e.g. LangChain, LlamaIndex, AutoGPT) and collaborating with external communities.

Minimum Requirements

* Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred) with an emphasis on data science and writing skills.

* Proficiency in at least one programming languages (e.g., Python)

* Familiar with collaborating with open-source community, (e.g., GitHub)

* Passionated for creating technical content for general public and engaging with the developer community.

* Excellent English verbal and written communication skills.

Desired Qualifications

* Experienced in writing technical blogs or documentations.

* Ability to work independently and remotely if required.

* Familiarity with vector databases is a plus, but not required.

Looking for Interview Prep help from Data Science and Analytics Expert primarily with experience in regards Yield, the average revenue that an advertiser can expect to earn from their ad placements or campaigns. Looking for someone with experience working closely with Product Managers to measure and visualize the impact of product releases through analysis and dashboards. Tech stack is AWS, SQL, some Python. Bonus if has experience with optimizing for revenue, market mix modeling, forecasting.

Are you a techy looking for a flexible and rewarding part-time job? Do you have skills in Programming Languages and domain knowledge? If so, we have an exciting opportunity for you!

This project is about training chatbot for coding related responses. The role requires a person to evaluate chatbot's response and asses if the answer provided is correct or not. The answer does not have to most efficient, only that is should be correct. More details to be provided later.

We are looking for individuals with computer language knowledge. It's ideal for students, teacher and other professionals who posses the skills and are looking for earn some extra money on the side. No extensive experience in coding is necessary.

To be eligible for this position, you must be:

US resident and legally allowed to work

Work at least 15 hours a week

Use of VPN is not allowed

The benefits of working with us include:

Flexible work hours: You can choose your own schedule as long as you work at least 10-15 hours a week

Long Term Project: The project is expect to continue for another 5-6 years

Learning opportunities: You will have the chance to work on diverse and challenging projects and learn new skills

Friendly and supportive team: You will be part of a collaborative and fun team that values your input and feedback

We look forward to hearing from you!

Deepchecks is seeking a talented and driven Growth LLM Engineer to join our team. As a Growth LLM Engineer, your primary responsibility will be creating an extensive range of high-quality examples that exhibit the capabilities and adaptability of our LLM Evaluation testing solution. Your efforts will contribute to user love and growth among data scientists, ML engineers and other LLM practitioners. The Growth LLM Engineer will collaborate closely with our core R&D team and report directly to the Head of AI.

Responsibilities

Build and maintain an extensive library of LLM examples that resonate with our target audience (Data Scientists, ML Engineers, Software Engineers), showcasing usage if Deepchecks' LLM Evaluation for various industry use cases.

Partner with the R&D team to integrate real-world feedback from the examples into the product development process, enhancing user experience and driving growth.

Integrate new examples into the documentation, test, build and deploy the examples in the documentation.

Proactively investigate and identify diverse LLM use cases across various industries and customer needs to ensure our examples cater to a wide array of practitioners.

Consistently review and refine existing examples to remain current with industry trends and user needs.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

2+ years of hands-on experience working as a Data Scientist, ML Engineer, or similar roles.

Demonstrated experience creating and implementing LLM solutions.

Proficiency in Python and familiarity with version control tools, such as Git.

Exceptional communication skills and an ability to explain complex ML concepts to both technical and non-technical audiences.

Adaptive thinking and problem-solving capabilities, with an affinity for exploring new LLM use cases and approaches.

Willingness to collaborate with a remote team based in Israel, and work independently as needed.

Ability to get "half-baked" ideas and independently turn them into concrete+working stuff.

Startup mindset.

Preferred

Demonstrated technical writing skills - major plus.

General coding skills – plus.

Significant open-source contributions - plus.

Demonstrated familiarity with documentation building frameworks such as sphinx - plus.

If this suits you or someone you know, please reach out!

Deepchecks is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We're looking to engage a resourceful and in-depth researcher with a knack for clear, compelling writing to conduct comprehensive research on Generative AI specifically focusing on its applications, effects, and potential within the insurance sector.

Your Task:

1. Conduct detailed research on Generative AI, paying particular attention to its use and potential effects in the insurance industry.

2. Write a detailed, comprehensive report showcasing your findings, interpretations, insights, and providing actionable recommendations.

3. The report should be structured similar to McKinsey-style industry reports, outlining the key trends, challenges, opportunities, regulatory considerations and future outlook of Generative AI in insurance.

4. Maintain open lines of communication with us, providing frequent updates on your research progress.

What We’re Looking For:

- Strong familiarity with Artificial Intelligence, Data Science, and/or InsurTech.

- Proven experience in research and technical writing.

- Ability to make complex AI concepts digestible for a non-technical audience.

- Excellent proficiency in English, both written and verbal.

How to Apply:

Submit a proposal detailing why you believe you're the best fit for this project and provide examples of previous research or reports you've undertaken, especially those focused on AI, InsurTech, or related topics.

When applying for this job, please be aware that it is an hourly position. We will compensate you for your research, but it is important that you heavily utilize AI in your work. To apply, please answer the following questions:

1. How do you incorporate AI into your job? What are your preferred AI research tools? Do you use any tools other than Perplexity?

2. While you are free to use AI in crafting your response, we are particularly interested in candidates with strong research skills at an academic level. Please outline your step-by-step approach in tackling a problem. For example, let's say the topic is "Generative AI in Insurance." How would you create content on this subject? What kind of research would you conduct?

Please note that failure to address these questions may result in the exclusion of your application. Also, please avoid using AI to answer these questions, as we can assess the context and determine if it was generated by ChatGPT.

We are seeking a talented and experienced Remote Lead AI Data Scientist to join our team on a part-time basis. Our company provides custom AI development services, and we need someone who is strong in Python and has experience working in a senior role at custom development agencies.

As a Lead AI Data Scientist, you will be responsible for developing and implementing custom AI solutions for our clients. This role requires someone with extensive experience in Python, and who has a solid background in custom development agencies. You will also be expected to work in a senior role and contribute to the overall success of the company.

Requirements:

2 years of machine learning engineering experience

3 years of AI data science experience

At least 1 year of management experience

Ability to work independently and meet deadlines

Strong communication and problem-solving skills

Additionally, you must be available for at least 10 hours per week with the possibility of more hours as projects come in.

Compensation: We offer a very high hourly compensation rate of $50/hour on a part-time basis.

If you meet these requirements and are interested in joining our team, please apply with your resume and relevant experience. Also, please include this phrase to your cover letter in order to be considered: "I meet your criteria". We look forward to hearing from you!

Natural Learning Process (NLP) developer for GCP - 3-months initial - REMOTE - UN-agency-client

We are looking for NLP engineering support to build on solution on GCP in the immediate term,with experience as Natural Learning Process (NLP) developer. where experience focused on NLP engineering/development, with associated knowledge of libraries and tools would be desired to build modular solutions for text extraction using semantic search.

It's to start ASAP (start in September-October) an initial 3-months contract (extensions possible) for an international Org' -client in ROME, where 100% REMOTE work is possible. Possibility of extension based on performance and budget availability. English speaking environment. Our client is an international organisation in Rome and a great reference in any CV!

100% Off-site/Off-shore. A competitive rate will increase chances to be selected.

TASKS

We are exploring the development of a pilot, which will be a first phase before a preparation to a transition to production.

Develop, implement, and evaluate machine learning models for NLP tasks

Responsible for the technical design, architecture, and coding of the NLP solutions, with an immediate focus on delivering and optimizing a production-grade pilot

Responsible for the solution evaluation, optimization, test and assisting future transition to production.

Ensure alignment with relevant UN-client standards

Conduct research on new techniques and algorithms, and stay up-to-date with advancements in the field of NLP.

Assist in data collection, pre-processing, and cleaning.

Present findings to non-technical stakeholders in a clear and actionable manner.

DELIVERABLES AT THE END OF THE CONTRACT:

Completion of a successful pilot, optimized on agreed the project's key performance indicators, including performance and speed.

Documentation of the lessons learnt.

Ensure that the solution is ready to transition to full production, meeting any corporate-level standards and requirements, if/when available, to guarantee seamless integration and alignment with existing systems and processes.

Support technical communication with the selected provider, maintaining a strong working relationship and fostering collaboration to address any issues, challenges, or opportunities that may arise during the course of the project.

MINIMUM QUALIFICATIONS AND EXPERIENCE:

Degree in computer science, data science, artificial intelligence, or related field

More than 3 years of experience in NLP (must have shipped ML applications to production) and familiarity with relevant tools and libraries.

Proficiency in Python and experience with libraries, including HuggingFace, PyTorch, or Keras.

Demonstrable experience and detailed understanding of transformers, Large Language Models (LLM), reinforcement learning, and deep learning techniques.

Direct experience with extractive search and LLM integration is a strong plus.

Proven experience with cloud platforms, preferably GCP and Vertex AI.

Demonstrable experience in developing production-grade apps.

Experience with model monitoring and optimization, API development.

Hands-on MLOPs experience would be a strong plus.

Capacity to create simple Front End during the pilot.

Familiarity with UN-client and UN environment, experience with similar projects and understanding of evaluation are assets

SKILLS:

Broad and authoritative technical knowledge of Natural Language Processing

Fully familiar with agile methodology, tools required for the development of the NLP solution (versioning, monitoring,etc.)

Demonstrated capacity to structure projects and respect best practices, strong organizing skills and proven ability to produce results to deadlines.

Demonstrated experience in facilitating dialogue between technical stakeholders and non-technical client, ie translating client into technical specifications and vice versa.

Fluency (level C) in English language.

OTHERS:

We are looking for NLP engineering support to build on solution on GCP in the immediate term, less AWS or MS

Experience focused on NLP engineering/development, with associated knowledge of libraries and tools is needed to build modular solutions for text extraction using semantic search.

Further, we would see value in exploring other NLP consultant with core skills/experience regarding:

Creation of a POC for document retrieval and retrieval augmented generation (RAG) solution, and the creation of insight module (visualization)

Proven experience of taking a POC to production, ideally using technologies such as GCP, FastAPI and Docker

Experience in MLOps tools and processes is a strong plus

**"About Us and What We Value:**

At AR Soft, we take pride in our commitment to excellence and innovation. We value transparency and clear communication, which are essential to our collaborative work environment.

**Clear Expectations:**

We believe that setting clear expectations is fundamental to success. As a member of our team, you can expect well-defined tasks and deliverables that align with our mission and goals. We're dedicated to providing you with a clear roadmap for your projects.

**Required Skills:**

We're looking for individuals who possess a strong skill set in [mention specific skills, e.g., data analysis, machine learning, programming languages]. These skills are integral to achieving our objectives and driving our projects forward.

**Good Communication:**

Effective communication is at the heart of our team's dynamics. We encourage open dialogue, active listening, and the willingness to share ideas and insights. Your ability to communicate clearly and collaborate effectively will be highly valued.

**Our Work Environment:**

Our team thrives in an environment that embraces adaptability and creativity. We [mention any unique aspects of your work environment, e.g., follow agile principles, use specific tools, have regular team meetings] to ensure a collaborative and productive atmosphere.

We look forward to welcoming a talented individual who shares our values and is excited to contribute to our mission of [mention your mission or goals, e.g., leveraging data for informed decision-making]. If you're ready to embark on a rewarding journey with us, we encourage you to apply and be part of our dynamic team."

Job Title: System & Solution Architect (Specializing in Power BI, Power Apps, and Azure)

Location: Remote

Company: SSC Digital

Job Type: Full-Time

About Us:

SSC Digital is a forward-thinking lead generation organization dedicated to growing businesses through cutting edge AI and quality data and service. We are seeking an accomplished System & Solution Architect with expertise in Power BI, Power Apps, and Azure to lead our efforts in managing Azure infrastructure and enhancing our existing database systems.

Job Description:

Position Overview:

As a System & Solution Architect specializing in Power BI, Power Apps, and Azure, you will play a pivotal role in managing our Azure infrastructure while improving and expanding our database solutions using Microsoft Power BI and Power Apps. Your expertise will enable us to leverage data effectively, drive informed decision-making, and enhance our overall business operations.

Key Responsibilities:

Azure Infrastructure Management:

Manage and optimize our Azure infrastructure to ensure scalability, reliability, and cost-effectiveness.

Build and integrate new Azure services as needed.

Collaborate with cross-functional teams to design and implement Azure-based solutions that meet business needs.

Monitor Azure resources, perform routine maintenance, and troubleshoot issues as they arise.

Implement security best practices to protect Azure resources and data.

Power BI & Power Apps Enhancement:

Utilize your expertise in Power BI to enhance our existing data models, dashboards, and reports.

Collaborate with business stakeholders to understand their requirements and translate them into actionable insights.

Develop interactive and user-friendly Power Apps to streamline business processes and improve efficiency.

Continuously improve data visualization and reporting capabilities.

Database Development & Administration:

Work on database design and optimization to support the evolving needs of the business.

Collaborate with database administrators to ensure data integrity, security, and performance.

Implement data integration solutions to connect various data sources and enable seamless data flow.

Conduct data migrations and platform upgrades as needed.

Team Leadership:

Lead a team of professionals responsible for database and Azure management.

Provide guidance, mentorship, and technical expertise to team members.

Foster a collaborative and innovative work environment.

Continuous Learning and Certification:

Stay updated on the latest developments in Power BI, Power Apps, and Azure technologies.

Pursue relevant certifications to maintain a high level of expertise.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in database development, architecture, and administration.

Expertise in Microsoft Power BI and Power Apps.

Strong proficiency in Azure infrastructure management and optimization.

Proven experience in database design, optimization, and integration.

Familiarity with data warehousing concepts and ETL processes.

Leadership and team management skills.

Excellent communication and stakeholder management abilities.

Problem-solving mindset and the ability to work in a fast-paced environment.

Azure certifications (e.g., Azure Administrator, Azure Solutions Architect) are a plus.

Benefits:

If you are a results-oriented System & Solution Architect with a deep understanding of Power BI, Power Apps, and Azure infrastructure management, and you are passionate about driving data-driven enhancements to transform our organization, we encourage you to apply. Join us in our mission to harness the power of data for business success.

Role Overview:

As a Data Quality Engineer you will be looking after our web and social media data collection pipeline. This means you will be responsible for managing our web and social media scrapers, as well as designing, developing, and maintaining data collection testing processes to ensure we are providing accurate, comprehensive and high-quality information to support our customers. You will collaborate closely with our engineering team, to ensure the data collected by the scrapers is reliable, consistent, and relevant.

Key Responsibilities:

* Configure, run, test and document errors with our web and social media scrapers, which collect data from diverse online sources, including websites and social media platforms.

* Monitor data collection processes and implement testing to ensure the accuracy, completeness, and timeliness of collected data. Find and / or build test cases including testing scripts to stress test the data pipeline

* Collaborate with our engineers and customer success teams to identify data quality issues, anomalies, and trends that might impact accuracy or comprehensiveness of client data set.

* Build and maintain data validation processes, scripts and internal dashboards to automatically identify, report and rectify inconsistencies or errors in collected data.

* Perform regular audits of data to verify its accuracy and adherence to compliance standards.

* Work closely with software engineers to integrate data collection processes into the larger technology infrastructure, ensuring scalability and reliability.

* Stay updated on the latest web scraping techniques, tools, and technologies to continuously improve data collection processes.

* Participate in code reviews, documentation, and knowledge sharing within the engineering team.

Qualifications:

* Studying or completed a Bachelor's or higher degree in Computer Science, Engineering, Data Science, or a related field.

* Experience in developing with Python

* Experience in developing and maintaining web scraping scripts using languages like Python and familiarity with relevant libraries (e.g., Selenium, Scrapy) well regarded

* Solid understanding of HTML, CSS, JavaScript, and web protocols well regarded

* Experience with social media APIs and data collection from platforms such as Facebook, Twitter, LinkedIn, etc well regarded

* Strong knowledge of data validation, data quality assurance, and data cleansing techniques.

* Proficiency in data analysis tools and languages (e.g., SQL, Pandas) to assess data quality.

* Attention to detail, problem-solving skills, and the ability to work independently and in a team environment.

* Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders.

* Understanding of compliance and regulatory standards in the digital space is a plus.

About Us:

The Wellspring Group is a leading HR services firm specializing in training and development solutions. Our mission is to empower individuals across various industries with the knowledge and skills they need to excel in their careers. We are committed to fostering diversity, inclusivity, and the highest standards of professional excellence.

Job Description:

We are seeking an energetic and detail-oriented Data Analyst to join our team. As a Data Analyst, you will play a crucial role in the analysis of data collected from over 10,000 test-takers each year participating in professional certification tests in Massachusetts. These tests are designed to ensure the competence and integrity of non-medical personnel responsible for medication distribution to patients served by various government departments and agencies.

Key Responsibilities:

- Collaborate with our Psychometrician and Database Administrator to oversee the analysis of two certification tests: a 30-question pretest with 12 versions and a test bank, and a 50-question certification test with 15 versions and a test bank.

- Utilize statistical techniques to examine test performance data, assess trends, and draw meaningful insights.

- Work closely with the Psychometrician to ensure the validity, reliability, and fairness of test results.

- Identify and address potential biases in the data, ensuring that certification testing is unbiased and culturally competent.

- Prepare comprehensive reports and presentations on test performance and candidate results.

- Continuously improve data analysis methodologies and contribute to the enhancement of our certification testing processes.

Requirements:

- Bachelor's or Master's degree in Data Analytics, Statistics, Computer Science, or a related field.

- Proven experience in data analysis, preferably in an educational or testing environment.

- Familiarity with statistical analysis tools such as R, Python, or SPSS.

- Background in healthcare, public health, or pharmaceutical compliance is a significant advantage.

- Strong attention to detail and a commitment to upholding data integrity and accuracy.

- Effective communication skills to collaborate with cross-functional teams.

- Ability to work independently and manage multiple projects simultaneously.

Additional Information:

The data you analyze will impact the certification of over 14,000 test-takers annually in the state of Massachusetts.

Note:

This is a part-time position with the potential for growth as our certification program expands. The Part-Time Data Analyst will work closely with our team and test validation vendors to ensure the success of our certification process, impacting the healthcare professionals who serve various departments in Massachusetts.

How to Apply:

If you are a dedicated and experienced Data Analyst with a passion for the healthcare sector, we invite you to join our team at The Wellspring Group.

Please note: Only shortlisted candidates will be contacted for interviews. Thank you for considering The Wellspring Group for this project.

The Wellspring Group is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. We celebrate diversity and are dedicated to providing equal employment opportunities to all individuals without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, or any other legally protected status in accordance with applicable federal, state, and local laws.

This policy applies to all employment practices, including recruitment, hiring, compensation, benefits, promotions, training, disciplinary action, and termination. We strive to attract and retain a talented workforce that reflects the diversity of our clients and the communities we serve. All qualified applicants will receive consideration for employment.

Application Deadline: September 21, 2023

Ambitious start-up focused on building an innovative AI platform to support a range of products and services. We are seeking an AI Consultant to serve in an advisory capacity, with the potential to step into a CTO role in the future.

Roles and Responsibilities:

Provide strategic guidance on the technological direction of the project

Collaborate closely with founder and key team members to define project scope and objectives

Advise on best practices for machine learning, data science, and AI implementation

Assist in recruiting and managing a specialized technical team

Evaluate potential technological partners and platforms

Attend calls/meetings with founder where needed (with advance notice ofcourse)

Opportunity to transition into a CTO role based on performance and project needs

Reinventing B2B database

------------

Data Engineering, Data Science, Scalable data architecture & pipelines

#####

Context:

→ Using LLMs to build a database of companies with the same quality analysis and datapoints that a real human would have done if he/she would have spent hours digesting all the company information available online (website, press, social media)

#####

Mission:

→ Going Beyond the typical “Location” “Industry” “Keywords” filters to curate/filter companies.

complete brief attached ....

Do you have a knack for extracting insights from data? We're an early-stage startup at the intersection of the creator economy and cutting-edge technology, and we need you! We're searching for a forward-thinking Data Scientist or Software Engineer to expand our suite of insight functions. You'll be leveraging social media data and interacting with a Large Language Model (LLM) to generate actionable insights. If the idea of influencing how creators make data-driven decisions excites you, we should talk.

Responsibilities

- Expand upon existing insight functions that analyze creator data from social media platforms.

- Collaborate with team members to develop new insight functions using our existing template.

- Interact programmatically with a Large Language Model (LLM) to extract and integrate insights.

- Conduct validation tests to ensure the reliability and accuracy of the new functions.

- Document code and methodologies for ongoing development and maintainability.

Requirements

- Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.

- Proficiency in Python.

- Familiarity with Large Language Models, preferably experience with LangChain.

- Experience writing modular code that prioritizes maintainability and code quality.

- Strong analytical and problem-solving skills.

- Excellent written and verbal communication skills.

We are an early-stage startup looking for a versatile Data Scientist or Software Engineer to scrape creator forums and analyze questions frequently asked by creators. You will play a pivotal role in a research project aimed at understanding the challenges and needs of creators across various fields. This is a unique opportunity to shape the direction of our platform and make a tangible difference in the lives of creators globally.

Responsibilities

- Identify platforms & forums where creators ask questions and collaborate with one-another

- Develop web scraping tools targeting creator forums.

- Collect, clean, and analyze the data to extract fields such as:

-- Question asked by a creator

-- Category of question (we don’t know what the categories might be, so this will be a discovery!)

-- Timestamp, if available

-- Creator specialty / field, if available

-- Social Media Platform referenced, if relevant and available

- Create visualizations to convey EDA (Exploratory Data Analysis) findings on the scraped data.

- Document your code and procedures for future maintainability.

Requirements

- Bachelor's degree in Computer Science, Data Science, Software Engineering, Statistics, or related field.

- Proficiency in a programming language suitable for both data analysis and web scraping, preferably Python.

- Familiarity with web scraping frameworks such as Scrapy, BeautifulSoup, or Selenium is a plus.

- Demonstrated interest in the creator economy or experience as a creator is a plus.

- Understanding of data storage solutions like SQL databases or cloud-based storage.

- Excellent written and verbal communication skills.

Data and Artificial Intelligence Engineer

Join an innovative team striving to enhance the working lives of veterinary professionals and improve patient outcomes.

Who We Are Looking For

We are on the hunt for an enthusiastic AI Developer with a passion for Large Language Models (LLMs) and related technologies. Your role will focus on leveraging AI to bring innovative solutions to our products and services. We value creativity, adaptability, and the drive to keep learning.

Responsibilities

- Develop, implement, and optimize AI-powered solutions using LLMs like OpenAI.

- Work with external data sources and APIs, including LangChain.

- Train and fine-tune ML models to achieve desired outcomes.

- Ensure code quality, maintainability, and reliability.

- Discover and fix bugs, and enhance application performance.

Qualifications

- Proficiency in Node.js, Typescript, React, and Next.js.

- Familiarity with GraphQL for API management.

- Hands-on experience with OpenAI or other LLMs.

- Experience in training ML models.

- Bachelor's degree or equivalent experience in Computer Science, AI, or a related field.

- A curious mind that's always on the lookout for the next big thing in AI.

- Passion for continuous learning and adapting in the rapidly evolving world of AI.

Nice-to-Have

- Previous work with LangChain.

- Knowledge in search index management.

Looking for an analyst on a part-time/full-time basis who can work many hours a week depending on availability and skillset. Must possess expert understanding of multidimensional modeling and ERP Epicor (DocStar) data.

You will be required to log on remotely to complete certain tasks. A time tracker is required

MUST HAVE HIGH-SPEED INTERNET CONNECTION and at least 16GB Of RAM on the computer.

MUST BE WILLING TO VALIDATE WORK, it is not enough to write a formula and hope for the best

Looking for an experienced data analyst

Examples of tasks:

• Design, develop, and maintain Power BI reports and dashboards to meet business requirements.

• Utilize DAX, M-Code, for complex data manipulations, calculations, and transformations.

• Dig through database to find tables and columns to create reports

• Some familiarity using data from Epicor ERP

-Other tools

Visual Studio

OLAP

NOT LOOKING FOR A DEVELOPER THAT JUST FOLLOWS ORDERS looking for someone that can provide solutions. That can teach me not the other way around.

40% of the time is spent analyzing data. It is not enough to create a measure or show a chart must dig into the data. What is the data telling us? these fields are blank is this ok? so many nulls is this right? etc.

40% asking the right questions in order to comprehend and create the business intelligence report. being innovative and condensing disparate pieces of data into actionable insights or succinct reports for senior executives. Proficient with PowerBI, Mcode, and DAX

20 % documentation to help translate business requirements to technical requirements

-Use current and emerging Statistics, Machine Learning and Data Science methods

Innovate new analytic solutions that serve unmet customer needs

-Communicate analytical results clearly and succinctly-

-Work closely with me to make value-added analytical services available to stakeholders

-Be creative, collaborative in nature, and a self-starter

Must have:

PowerBI

SQL

We are looking for a talented and experienced NLP Chatbot Engineer to join our team and help us develop and deploy state-of-the-art chatbots for our e-commerce platform. As an NLP Chatbot Engineer, you will be responsible for designing, developing, and testing chatbots that can understand and respond to customer queries in a natural and informative way. You will also work with other engineers and product managers to integrate chatbots into our e-commerce platform and ensure that they provide a seamless and positive customer experience.

Responsibilities:

Design, develop, and test NLP chatbots for our e-commerce platform

Integrate chatbots with our e-commerce platform and ensure that they provide a seamless customer experience

Work with other engineers and product managers to develop and implement chatbot strategies

Collect and analyse chatbot data to improve the chatbot experience

Stay up-to-date on the latest NLP and chatbot technologies

Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field

3+ years of experience working with NLP chatbots

Strong programming skills in Python, Java, or another object-oriented programming language

Experience with NLP libraries and frameworks such as TensorFlow, PyTorch, or spaCy

Experience with chatbot platforms such as Dialogflow, Amazon Lex, or Rasa

Strong problem-solving and analytical skills

Excellent communication and teamwork skills

Position: ML/DL/AI Expert Data Scientist

Specialization: Fraud Detection/Outlier Detection

Type: Part-time that may become full-time(minimum 20 hours/week)

Company Overview:

Our company is a cutting-edge insurtech-healthtech company that is revolutionizing the way of finding frauds and diagnosis. We are dedicated to leveraging advanced machine learning, deep learning, and artificial intelligence techniques to solve complex problems in insurtech-healthtech. As we continue to grow, we are seeking a talented and experienced ML/DL/AI Expert Data Scientist to join our team and play a pivotal role in enhancing our fraud detection and outlier detection capabilities.

Role and Responsibilities:

As an ML/DL/AI Expert Data Scientist specializing in Fraud Detection/Outlier Detection, you will be responsible for:

Model Development: Design, develop, and implement state-of-the-art models, etc. for fraud detection and outlier detection. Leverage your extensive experience in handling imbalanced data to create robust models that effectively identify anomalies in complex datasets.

Specialized Domain Expertise (Advantage): Apply your deep knowledge of data science solutions in insurance and/or healthcare data (advantage) to enhance the accuracy and relevance of the developed models. Understand the intricacies of the industry-specific data to tailor the model architecture and features accordingly.

Learning Event Sequences: Utilize your expertise in handling learning event sequences and similarities to build models that can effectively capture and analyze sequential data patterns for fraud detection. Develop models that can uncover anomalies and irregularities within complex temporal data.

Explainability of Anomalies: Develop methods to explain the detected anomalies and outliers to stakeholders, making complex results interpretable for non-technical audiences. Provide insights into the factors contributing to anomalies, aiding in decision-making processes.

Collaboration: Collaborate with cross-functional teams including data engineers, domain experts, and software developers to integrate the developed models into our existing systems and applications. Contribute to a cohesive team environment that fosters knowledge sharing and innovation.

Research and Innovation: Stay updated with the latest advancements in the field of machine learning, deep learning, and AI. Actively research and propose innovative approaches to improve the accuracy and efficiency of our fraud detection and outlier detection methods.

Qualifications:

Advanced degree (MSc/PhD) in Computer Science, Data Science, Machine Learning, AI, or a related field.

Proven experience (at least 3 years) working on fraud detection and/or outlier detection projects.

Strong background in handling imbalanced datasets and designing solutions to address data class imbalance.

Proficiency in programming languages such as Python, ML and deep learning frameworks like TensorFlow or PyTorch.

Experience in analyzing and interpreting complex learning event sequences for anomaly detection purposes.

Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Prior experience with insurance and/or healthcare data is a significant advantage.

Strong problem-solving skills and the ability to work independently in a dynamic environment.

Benefits:

Opportunity to work on cutting-edge projects that have a meaningful impact on healthcare.

Collaborative and innovative work culture that values learning and growth.

Access to the latest tools, resources, and research in the field of ML/DL/AI.

If you're a passionate and experienced ML/DL/AI Expert with a focus and experience with Fraud Detection/Outlier Detection and are excited about contributing to the growth and success of our Company, we encourage you to apply. Join us in our mission to revolutionize healthcare through advanced data science and AI techniques.

We are an emerging startup in the dynamic field of cloud professional services. As we embark on our journey through the early growth stages, we are looking for driven individuals who can thrive in a fast-paced, entrepreneurial environment. As we pave the way for advancements in synthetic data generation, we seek a dedicated Machine Learning Engineer with a specialty in computer vision to join our dynamic team.

Responsibilities:

Synthetic Data Generation: Develop and implement algorithms for generating synthetic data to enhance computer vision models.

Algorithm Development: Design and optimize computer vision and machine learning algorithms tailored to specific project requirements.

Collaboration: Work closely with data scientists, software engineers, and product teams to develop and deploy synthetic data solutions.

Research: Stay updated with the latest developments in computer vision and synthetic data generation techniques.

Model Evaluation: Test and evaluate the performance of models, ensuring they meet the required standards before deployment.

Optimization: Work on improving the efficiency, scalability, and stability of computer vision systems.

Documentation: Clearly document methodologies, processes, and results to ensure reproducibility and knowledge sharing.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a focus on Machine Learning or Computer Vision.

Proven experience in developing machine learning models for computer vision tasks, specifically in synthetic data generation.

Strong proficiency in Python and familiarity with machine learning libraries like TensorFlow, PyTorch, and OpenCV.

Experience with GPU programming and optimization.

Excellent problem-solving abilities and attention to detail.

Mandatory: US Citizenship.

Preferred: Existing security clearance or the ability to obtain one.

We are looking for a Machine Learning Engineer who is proficient in Python and has experience in developing and deploying machine learning solutions for various business problems.

Responsibilities:

• Design, develop, and deploy machine learning models and pipelines using Python, TensorFlow, PyTorch, Scikit-learn, or other frameworks and libraries.

• Perform data analysis, preprocessing, feature engineering, and model evaluation using Python, Pandas, NumPy, Matplotlib, or other tools.

• Collaborate with other engineers, data scientists, product managers, and stakeholders to understand the business requirements and deliver high-quality solutions.

• Research and explore new machine learning techniques, methods, and applications to improve the existing solutions or create new ones.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field.

• 3+ years of experience in machine learning and python scripting.

• Strong knowledge of machine learning concepts, algorithms, and frameworks.

• Proficient in Python and its libraries for data manipulation, analysis, visualization, and machine learning.

• Experience in developing and deploying machine learning models and pipelines using cloud platforms such as AWS, Azure, or Google Cloud.

• Experience in working with various types of data sources and formats, such as CSV, JSON, XML, SQL, NoSQL, etc.

• Experience in using version control tools such as Git or SVN.

• Excellent communication and problem-solving skills.

Summary: We are a new startup in the early stages, seeking talent to help us in the early phases with an opportunity to become a part of this exciting startup long term. We are ex-Amazon from the Seattle area, with 6+ years working at Amazon previously.

We are seeking a highly motivated and skilled Operations Research Scientist to join our team. This role involves applying advanced analytical and mathematical techniques to solve complex business problems and optimize operational processes. The ideal candidate will have a strong background in operations research, data analysis, and modeling.

Responsibilities:

Problem Solving: Use mathematical models, statistical analysis, and optimization algorithms to address challenging operational problems and make data-driven decisions.

Data Analysis: Collect, clean, and analyze large datasets to extract valuable insights and trends that can improve operational efficiency.

Model Development: Develop and maintain mathematical models, simulations, and forecasting tools to support decision-making processes.

Optimization: Apply optimization techniques to optimize resource allocation, supply chain logistics, and other operational processes.

Collaboration: Collaborate with cross-functional teams, including engineers, data scientists, and business stakeholders, to implement research findings into practical solutions.

Research: Stay up-to-date with the latest advancements in operations research, machine learning, and data science to continuously improve methodologies and tools.

Documentation: Document research methodologies, findings, and recommendations for internal and external audiences.

Qualifications:

Ph.D. or Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related field.

Strong proficiency in mathematical modeling, statistics, and optimization algorithms.

Proficiency in programming languages such as Python, R, or MATLAB.

Experience with data manipulation and analysis using tools like SQL, Pandas, or NumPy.

Excellent problem-solving and critical-thinking skills.

Strong communication skills to convey complex findings to non-technical stakeholders.

Ability to work independently and as part of a collaborative team.

Previous experience in operations research, supply chain optimization, or related fields is a plus.

Overview

We are seeking a highly skilled and experienced Enterprise AI SaaS Development Specialist to join our innovative technology company. In this role, you will work on cutting-edge AI-powered SaaS solutions designed to solve complex challenges in the enterprise space. If you have a strong track record in developing robust, scalable, and intelligent software solutions, we’d like to hear from you.

Responsibilities

Design and develop scalable, robust and high-performance SaaS solutions incorporating AI and machine learning algorithms.

Work closely with product managers, UX/UI designers, and data scientists to translate business requirements into software specifications.

Implement cloud-based architectures suitable for enterprise-level applications.

Ensure the technical feasibility of UI/UX designs and optimize application for maximum speed and scalability.

Develop APIs and services to integrate the solution with third-party systems and data sources.

Lead and participate in code reviews to maintain a high-quality codebase.

Conduct end-to-end testing to ensure robustness, reliability, and scalability.

Prepare technical documentation including but not limited to architectural diagrams, API documentation, and system workflows.

Collaborate with sales and customer support teams to understand client needs and tailor solutions accordingly.

Stay updated with emerging technologies and apply them to active development projects where applicable.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

5+ years of experience in software development, with at least 2 years focused on SaaS applications.

Strong experience with AI/ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.

Extensive knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.

Proficiency in multiple programming languages such as Python, Java, C++, or Node.js.

Strong understanding of RESTful API development and integration.

Familiarity with modern front-end technologies (React, Angular, Vue) is a plus.

Excellent communication skills, both verbal and written.

Ability to work well in a team as well as independently.

Payment & Duration

Payment terms: Negotiable based on experience and skills

Duration: Long-term project, 6-12 months with the possibility of extension

How to Apply

If you meet these qualifications and are interested in this opportunity, please submit your application including:

Resume/CV.

Cover letter explaining your relevant experience.

Code samples or links to repositories showcasing your work.

References from past projects in a similar field.

We look forward to receiving your application and discussing how you can help bring our innovative solutions to the enterprise world.