Top Data Science Jobs

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

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Data Engineering, Data Science, Scalable data architecture & pipelines

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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)

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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.

Need Python expert to help me with my class

Will require completing questions where you define functions for certain problems like preprocessing unstructured data and floating points. Possibility to extend past 10 hours of work based on syllabus and course needs.

Module 1: Representing, transforming, and visualizing data.

Topic 5: Preprocessing unstructured data

Strings and regular expressions

Topic 6: Mining the web

(Ungraded; notebook only) HTML processing, web APIs

Topic 7: Tidying data

Pandas, merge/join, tibbles and bits, melting and casting

Topic 8: Visualizing data and results

Seaborn, Bokeh

Topic 9: Relational data (SQL)

Module 2: The analysis of data.

Topic 10: Intro to numerical computing

NumPy / SciPy

Topic 11: Ranking relational objects

Graphs as (sparse) matrices, PageRank

Topic 12: Linear regression

Direct (e.g., QR) and online (e.g., LMS) methods

Topic 13: Classification

Logistic regression, numerical optimization

Topic 14: Clustering

The k-means algorithm

Topic 15: Compression

Principal components analysis (PCA), singular value decomposition (SVD)

Hi,

We are looking for a Data Expert who has worked on Smart Meter Data Analysis.

We are currently drafting a proposal for the Saudi Electricity Company. The scope of the project involves 5-day in-person training of the technical team in Saudi Arabia. The training will be designed to equip Saudi government officials with the knowledge and skills needed to harness the potential of smart meter data, from collection and storage to advanced forecasting and insights generation.

The mode of teaching will be English or Arabic, you should be proficient in both. Moreover, this will be a in-person training so you should be open to travel. All travel/food/accommodation expenses will be paid.

We are currently bidding for the proposal and we would want your expertise to be presented in the portfolio too. If we get the project, and you successfully give the in-person training, we will have future work for you too!

Please attach your CV so its easier for us to look at your profile.

We are looking for a skilled Data Scientist who is proficient in Python and has experience with processing geo-spatial data. The ideal candidate will be responsible for handling and analyzing large datasets and extracting insights from geo-spatial information. The project involves utilizing Python libraries for data manipulation, cleaning, and visualization. The successful candidate should have a strong understanding of statistical analysis, machine learning algorithms, and be able to effectively communicate findings to both technical and non-technical stakeholders.

Skills required:

- Data science

- Python

- Geo-spatial data processing

- Data manipulation

- Statistical analysis

- Machine learning

- Data visualization

Job Title: AI Implementation Specialist - Education Recruitment

Job Description:

We are seeking a highly skilled and motivated AI Implementation Specialist to work on our education recruitment business which is based in the UK. As an AI Implementation Specialist, you will play a crucial role in revolutionising our recruitment processes by leveraging the power of artificial intelligence. Your expertise will help us streamline operations, enhance candidate sourcing, and improve overall efficiency.

Responsibilities:

- Collaborate with the management team to identify areas within our education recruitment business that can benefit from AI implementation.

- Design and develop AI-driven solutions to automate and optimize various recruitment processes, including candidate sourcing, screening, marketing and building training programs

- Conduct thorough research on AI technologies, algorithms, and tools to identify the most suitable options for our business needs.

- Implement and integrate AI solutions into our existing systems, ensuring seamless functionality and user-friendly interfaces.

- Train and educate management on the effective use of AI tools and technologies, fostering a culture of AI adoption within the organization.

Requirements:

- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.

- Proven experience in implementing AI solutions in a professional setting, preferably within the education or recruitment industry.

- Strong knowledge of AI technologies, algorithms, and tools, such as machine learning, natural language processing, and data analytics.

- Proficiency in programming languages commonly used in AI development, such as Python, Java, or R.

- Familiarity with AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

- Excellent problem-solving skills and the ability to think creatively to develop innovative AI solutions.

- Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

- A passion for education and a genuine interest in leveraging AI to improve the recruitment process.

If you are a highly motivated individual with a passion for AI and education, and you are eager to make a significant impact in the recruitment industry, we would love to hear from you. Help us shape the future of education recruitment through the effective implementation of AI technologies.

We are a Generative AI Safety Software company founded by a team of successful serial entrepreneurs with deep expertise in AI and Cognitive Computing.

We are shaping the future of Generative AI Safety by delivering a unique GenAI safety software for addressing LLM hallucinations and performance at scale, empowering LLM Application Developers to innovate safely and responsibly with generative AI. We are on a quest to redefine the boundaries of safe and efficient AI deployments, and we need the best minds to join us.

Responsibilities:

Technical Leadership:

Drive the design, development, and deployment of our core AI safety products while maintaining top-tier code quality and architecture.

Software Development:

Write clean, efficient, and maintainable code. Troubleshoot and debug software issues. Conduct code reviews to ensure quality and adherence to coding standards.

Team Management:

Lead, mentor, and grow a dynamic team of software and AI/ML developers. Ensure a culture of continuous learning and innovation.

Collaboration:

Partner with product managers, data scientists, and AI researchers to shape product vision and translate it into scalable software solutions.

Strategic Development:

Contribute to the strategic direction of our developer tools, ensuring they remain at the cutting edge of both functionality and safety.

Stakeholder Communication:

Interface with business stakeholders, presenting technical information in a clear, concise manner.

Qualifications:

• A bachelor’s degree in Computer Science, Software Engineering, or a related field. Master's degree preferred.

• A minimum of 5 years of professional experience in software development, with a focus on developer tools.

• Proven track record of managing and leading software and AI/ML teams in agile environments.

• Familiarity with the latest developer tools and frameworks in the AI/ML domain.

• Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

Technical Skills:

1. Programming Languages: Proficiency in one or more programming languages commonly used in AI/ML and software development, such as Python, Java, C++, or Go.

2. Cloud Platforms: Experience working with cloud services like AWS, GCP, or Azure. Especially knowledge of machine learning services, edge compute, CLI/SSH, and an understanding of compute resources.

3. Developer Tools: Experience with popular developer tools and platforms like Git, Jenkins, Docker, Kubernetes, and others.

4. Machine Learning Frameworks: Familiarity with AI and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.

5. AI Safety: Knowledge of AI/ML best practices, challenges, and emerging techniques. Knowledge of LLM and Generative AI Models and Vector Databases is a plus.

6. Data Management: Skills in handling large datasets, using databases (SQL, NoSQL), and data wrangling tools.

7. API Development: Experience designing, developing, and maintaining RESTful or GraphQL APIs.

8. Continuous Integration & Continuous Deployment (CI/CD): Familiarity with CI/CD tools and practices.

9. Software Architecture: Ability to design scalable, modular, and maintainable software systems, considering both functional and non-functional requirements.

10. Agile Development: Experience with agile methodologies such as Scrum or Kanban.

11. Web Development (Optional): Skills in web development frameworks like React, Angular, or Vue.js might be beneficial if there's a web interface for the tools.

12. Security: Understanding of software and data security best practices, especially in cloud environments.

13. Unit Testing & TDD: Experience with unit testing, test-driven development, and associated frameworks.

14. Containerization & Virtualization: Proficiency in Docker, Kubernetes, or other containerization tools.

15. Documentation: Familiarity with tools and practices for maintaining technical documentation, especially for developer tools that will be used by other engineers.

If you are a highly motivated Software Engineer and leader with a passion for developing innovative Generative AI safety solutions, we want to hear from you! Apply now to join our talented team of software professionals.

Job Type: Full-time

Schedule:

Monday to Friday

Critical Skills:

Experience with building Developer Tools.

My goal:

- Based on a job post, share a relevant case study.

- This supports a niche recruiting firm's email outreach

The context:

1. I have a dataset of case studies (~40, each less than 500 words, categorized by type of job)

2. We want to get the appropriate case study (output) based on job post text (input)

3. Should be able to get results via API

I'm am technical and mathematically-minded, but don't have too much familiarity with data science.

I'd like someone to advise me on a quick/lean approach to take to match the best case study ~80%+ of the time.

Approach that I'd like advice on includes:

- Theoretical approach (e.g. NLP using algorithm XYZ)

- Tools to use to speed up this project

Data Collection and Analysis:

Collect and consolidate data from Shopify, third-party apps, and other relevant sources.

Analyze customer behavior, purchase trends, and website traffic to identify opportunities for growth.

Reporting and Visualization:

Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as conversion rates, average order value, and customer retention.

Create visually appealing data visualizations and reports to convey insights to stakeholders.

A/B Testing and Optimization:

Plan, implement, and analyze A/B tests to improve website performance, user experience, and conversion rates.

Provide recommendations based on test results to enhance the shopping experience.

Product and Inventory Analysis:

Analyze product performance, including sales trends, margins, and inventory levels.

Suggest strategies for product selection, pricing, and inventory management.

Customer Segmentation:

Segment customers based on demographics, behavior, and purchasing history.

Develop customer personas to inform marketing and personalization efforts.

Competitor Analysis:

Monitor competitor strategies, pricing, and product offerings.

Identify opportunities to differentiate our store and offerings.

Forecasting and Demand Planning:

Utilize historical data to forecast future sales and demand.

Collaborate with the operations team for effective inventory management.

Qualifications:

Bachelor's degree in Data Science, Statistics, Business, or a related field.

Proven experience as a Data Analyst in an e-commerce or dropshipping setting.

Proficiency in Shopify and e-commerce analytics tools.

Strong analytical and problem-solving skills.

Proficiency in data visualization tools (e.g., Tableau, Power BI).

Experience with A/B testing and statistical analysis.

Strong communication skills to convey complex data findings.

Detail-oriented and able to work independently.

Benefits:

Competitive salary

Opportunities for career growth

Collaborative and dynamic work environment

How to Apply:

If you're excited to make an impact in the world of dropshipping and e-commerce through data analysis, please submit your resume and a cover letter detailing your relevant experience and why you're a great fit for this role.

- Understanding the needs of the project.

- creating architectures for different models.

- support in building the models

- Testing the models

- driving the team towards achieving goals

- Preparing data for analytical use

- Plan to build data pipelines to pull information together from different sources

We are seeking an enthusiastic and motivated Entry-Level Machine Learning Specialist to join our globally distributed AI consulting and management team. As a Machine Learning Specialist, you will work collaboratively with our cross-functional teams to develop and implement cutting-edge AI solutions for our clients. You should have a passion for problem-solving, a deep interest in machine learning, and the ability to work effectively in a remote team environment.

Responsibilities:

Collaborate with senior machine learning engineers and data scientists to design, develop, and implement machine learning models and algorithms to address client challenges.

Assist in preprocessing, cleaning, and analyzing data to extract meaningful insights and patterns.

Support the development of AI applications and solutions across various industries.

Contribute to the research and evaluation of emerging machine learning techniques and technologies.

Collaborate with UX/UI designers to integrate machine learning components into user interfaces.

Participate in brainstorming sessions and team discussions to ideate innovative solutions.

Work closely with project managers to meet project deadlines and deliver high-quality results.

Provide documentation for code, algorithms, and solutions developed.

Maintain a strong commitment to learning and professional development to stay up-to-date with the latest advancements in the field.

Qualifications:

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

Strong understanding of machine learning fundamentals, algorithms, and techniques.

Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or scikit-learn.

Experience with data preprocessing, feature engineering, and model evaluation.

Good understanding of statistics and data analysis.

Excellent problem-solving skills and a proactive approach to identifying and resolving challenges.

Ability to work effectively both independently and within a remote team environment.

Strong communication skills, both written and verbal.

Passion for staying updated with the latest developments in machine learning and AI.

Previous experience or relevant coursework in machine learning projects is a plus.

What We Offer:

Opportunity to be part of a dynamic and globally distributed AI team.

Collaborative and innovative work environment that encourages learning and growth.

Exposure to diverse AI projects spanning various industries.

Mentorship from experienced machine learning engineers and data scientists.

Flexible remote work arrangement.

If you are a dedicated and curious individual with a keen interest in machine learning, excited about working collaboratively across time zones, and eager to contribute to impactful AI solutions, we encourage you to apply and join our growing team of AI enthusiasts.

To apply, please submit your resume, a cover letter highlighting your passion for machine learning, and any relevant project or portfolio links.

This project involves development of machine learning models designed to solve targeted medical problems such as data extraction from medical records and supervised learning applications on medical data. Skills required are:

-web scraping, specifically public science and medical databases.

-database management for machine learning

-experience with Pytorch

-experience with transformer-based neural networks (experience with Llama2 open source models is a plus) using training data sets.

-git experience

Job Title: GSI Specialist - Data Acquisition and Analysis

Company: INNO8X

Location: DELHI

About Us:

INNO8X is an innovative startup dedicated to unraveling the insights hidden within data. We are seeking a highly motivated and skilled GSI (Data Gathering, Analysis, and Business Intelligence) Specialist to join our dynamic team. If you're passionate about transforming raw data into valuable business knowledge and thrive in a fast-paced startup environment, we want to hear from you.

Position Overview:

As a GSI Specialist at INNO8X, you will play a pivotal role in sourcing, curating, and dissecting precious and profound data related to various businesses. Your expertise will contribute directly to our mission of delivering detailed and actionable business insights.

Responsibilities:

Scour various data sources to gather relevant and valuable business data.

Analyze data sets to extract meaningful insights and trends.

Collaborate with cross-functional teams to understand business requirements and objectives.

Develop and maintain robust data pipelines for efficient data collection and analysis.

Ensure data accuracy, integrity, and security throughout the process.

Produce comprehensive reports and presentations showcasing findings to both technical and non-technical stakeholders.

Qualifications:

Bachelor's degree in Data Science, Business Analytics, or a related field (or equivalent practical experience).

Proven experience in data acquisition, analysis, and interpretation.

Familiarity with data gathering tools, techniques, and APIs.

Proficiency in data manipulation using programming languages such as Python, R, or SQL.

Strong analytical thinking and problem-solving skills.

Excellent communication and presentation abilities.

Ability to work independently and collaborate effectively in a team.

Passion for staying updated with the latest industry trends in data analysis and business intelligence.

Why Join Us:

Opportunity to shape the data-driven culture of a promising startup.

Work with a diverse and talented team passionate about innovation.

High-impact role with the chance to directly influence business decisions.

Fast-paced, dynamic, and collaborative work environment.

Competitive compensation package and potential for career growth.

If you're excited about diving into intricate data landscapes and turning them into actionable insights, we encourage you to apply. Join INNO8X in revolutionizing how businesses harness the power of data. To apply, please send your resume and a brief cover letter to handsfree.ai@gmail.com

Application deadline: 31 AUGUST

(Note: Only shortlisted candidates will be contacted)

INNO8X is an equal opportunity employer. We welcome and encourage applicants from all backgrounds to apply.

About Us:

We hold the privilege of accessing real-time complete import and export records from 18 countries. We are seeking an exceptional Lead Data Scientist to join our team on a freelance basis. In this role, you will drive projects from Proof of Concept (PoC) to designing and implementing scalable solutions in Natural Language Processing (NLP), Predictive Modeling, and Decision Support Systems. You will uphold the quality of deliverables and orchestrate successful project deliveries. Additionally, you will ensure quality throughout the process by building and validating AI models based on structured and unstructured data. Collaboration with Product Managers, Data and Software Engineers will be integral, as you craft production-grade Data Science solutions. Your leadership will extend to guiding junior colleagues through project life cycles.

Responsibilities:

Oversee the entire project delivery process, championing the journey from PoC to implementing scalable solutions in NLP, Predictive Modeling, and Decision Support Systems.

Define and validate data requirements essential for implementing Data Science solutions.

Grasp customer business problems and identify precise Data Science solutions to address challenges.

Conduct Exploratory Data Analysis and develop AI models to address tangible business issues.

Validate both technical performance and business value of developed AI solutions.

Collaborate with Product Managers to conceptualize feasible Data Science solutions.

Work alongside Data and Software Engineers to actualize production-grade Data Science solutions.

Act as a mentor, guiding junior colleagues through project life cycles.

Desired Competency & Experience:

Bachelor's degree in a relevant field (Data Science, Computer Science, Mathematics, Engineering, Statistics, Physics, etc.).

Master's or PhD degree in a relevant field (Data Science, Computer Science, Mathematics, Engineering, Statistics, Physics, etc.) is advantageous.

3-5 years of professional experience in analyzing, constructing, and validating AI models using structured and unstructured data.

Hands-on experience crafting impactful AI models, particularly for text analytics applications.

Proficiency with ML frameworks such as scikit-learn, TensorFlow, Keras, pytorch.

Proficiency in Python, software engineering concepts, and best practices.

Familiarity with SQL, Glue, Spark, and code versioning tools (git).

Comfort with working on large datasets, including data querying, filtering, and cleansing.

Proficiency in building complex reports, queries, and dashboards at scale.

Stay current with AI, Data Science, and Big Data Algorithm trends.

While not mandatory, knowledge of NLP is advantageous.

Showcase innovative "out of the box" thinking, critical for our competitive edge in insights from publicly available data.

Embrace a positive "Can do" attitude and exhibit exceptional attention to detail.

If you believe that your skills and expertise align with the requirements of this position, please send us your CV for review. Additionally, if you have a portfolio or examples of previous work, we would be interested in seeing them. We are eager to assess your qualifications and establish a cooperative relationship as soon as possible.

We look forward to hearing from you.