Top Data Science Jobs

Overview Data Science Engineer:

We are looking for a savvy Data Science Engineer to join our team. The hire will be responsible for first and foremost assisting with a large backlog of client data reporting requests, running standardized functions, while reviewing the environment and when possible, optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate has experience with Databricks, PySpark, SQL, Python, familiarity with APIs (does not need to build), ability to produce high quality documentation from the processes they learn, worked with Git (versioning control), and has a strong familiarity with ETL. The Data Science Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities

•Assisting with a large backlog of client data reporting requests

• Document the process and functions used.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Use existing infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Databricks ‘big data’ technologies.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Required Skills

• Databricks, PySpark, SQL, Python, git, API queries, high quality documentation, and strong familiarity with ETL.

Overview Data Science Engineer:

We are looking for a savvy Data Science Engineer to join our team. The hire will be responsible for first and foremost assisting with a large backlog of client data reporting requests, running standardized functions, while reviewing the environment and when possible, optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate has experience with Databricks, PySpark, SQL, Python, familiarity with APIs (does not need to build), ability to produce high quality documentation from the processes they learn, worked with Git (versioning control), and has a strong familiarity with ETL. The Data Science Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities

•Assisting with a large backlog of client data reporting requests

• Document the process and functions used.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Use existing infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Databricks ‘big data’ technologies.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Required Skills

• Databricks, PySpark, SQL, Python, git, API queries, high quality documentation, and strong familiarity with ETL.

Statement of Work: Cryptocurrency Researcher

Task:

The Cryptocurrency Researcher will be responsible for conducting comprehensive research and analysis on various aspects of cryptocurrencies, including but not limited to blockchain technology, market trends, investment opportunities, and regulatory frameworks. The primary objective is to provide actionable insights and recommendations to guide decision-making processes related to cryptocurrency investments and business strategies.

Responsibilities:

1. Conduct in-depth research on different cryptocurrencies, their underlying technologies, and their potential use cases in various industries.

2. Analyze market dynamics, trends, and emerging opportunities in the cryptocurrency space.

3. Monitor regulatory developments and assess their impact on the cryptocurrency market.

4. Evaluate the risk and potential rewards of different investment options within the cryptocurrency ecosystem.

5. Collaborate with cross-functional teams to provide insights and recommendations for business strategies related to cryptocurrencies.

6. Prepare and present research findings, reports, and presentations to internal stakeholders and external clients.

Qualifications:

1. Strong understanding of blockchain technology and cryptocurrencies, including Bitcoin and Ethereum.

2. Extensive knowledge of market trends and dynamics within the cryptocurrency industry.

3. Proficiency in conducting thorough research and analysis using various data sources.

4. Familiarity with investment strategies and risk assessment within the cryptocurrency market.

5. Excellent written and verbal communication skills, with the ability to present complex information in a clear and concise manner.

6. Ability to work independently and collaboratively in a fast-paced environment.

7. Bachelor's or Master's degree in computer science, finance, economics, or a related field.

This Statement of Work outlines the tasks, responsibilities, and qualifications of a Cryptocurrency Researcher. The individual in this role will play a crucial part in providing valuable insights and recommendations to navigate the rapidly evolving cryptocurrency landscape.

We are developing an AI-driven research system that generates comprehensive research papers by leveraging vast datasets. The system evolves through iterative user feedback and data enhancement, aimed at continuously refining accuracy and relevancy in the generated papers.

Key Responsibilities:

Build, train, and maintain custom datasets and models using OpenAI, particularly focusing on ChatGPT-4 integration.

Develop mechanisms for prompt-based research generation, ensuring high-standard output in response to user-inputted prompts.

Implement a dynamic version history functionality to track and record document evolutions.

Design a standardized research paper structure including components like executive summary, thesis, supporting content, and works cited.

Develop a connection exploration feature to suggest potentially related areas, entities, or individuals for further human research.

Create user interaction features for feedback, grading, and suggestions to enhance the system’s output.

Implement inline citations with direct links to source materials, fact-checking, and source editing functionalities for enhanced accuracy.

Work on AI-driven clue generation to provide insights on areas lacking sufficient information, suggesting directions for further human-led research.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or related field.

Minimum of 3 years of experience in AI/ML projects, specifically in NLP and GPT-3/GPT-4 models.

Experience with OpenAI platform and APIs.

Strong programming skills in Python.

Excellent problem-solving skills and ability to work independently or in a team.

•Do you have any Data Science / Python experts - familiarity with LangChain, OpenAI GPT

• Then usual D/Science libraries such as scipy, transformers, plotly, matplotlib, tiktoken, beautifulsoup, requests

• Then if anyone specifically has medical experience with BeRT, BioBERT, SciSpacy etc. -

We are seeking a talented and experienced Remote Lead AI Data Scientist to join our team on a full-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.

Why this is an amazing opportunity:

- Opportunity to grow. Joining our team offers the opportunity to be part of a rapidly growing business department. With a total of 15 employees, we have established a dynamic and thriving work environment. Moreover, our experience of successfully running this business model for over 6 years ensures stability and a proven track record of success.

- Freedom. The position is fully remote (work from home, a co-working space, a café, etc.).

- Autonomy. As long as you’re executing our processes properly, you won’t be micromanaged.

- Fairness. We value open communication, directness, and transparency. We want the collaboration with our full-time freelancers to be a win-win for both sides.

- Passion and purpose. Work with a passionate team that really cares about doing quality work and helping clients to make their businesses grow.

- Quality. We place a big emphasis on providing high-quality service and actually getting people results. Before taking on new clients, we set realistic expectations and make sure that they understand the relationship they’re going into.

- A winning culture. We focus on sustainable, optimal growth instead of just growing as fast as possible.

- You will face a rational, honest, and friendly culture with a high focus on achievement. This is not for everyone. We’ve found that a lot of people do not like direct feedback about improvement areas or to have pressure to achieve specific things. However, some people understand the long-term benefits of this and value it accordingly.

- We want you to perform your best and will be completely transparent with all information.

- Competitive salary (depending on your level of experience).

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

- This is a full-time job opportunity with 40 hours/week workload

- Compensation: We offer a very high compensation based on your experience

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!

Seeking Attribution Modeling Expert to Build AI-Driven Platform

We are looking for a senior-level expert in multi-touch attribution tracking and modeling to help build a new enterprise-level SaaS solution. You will architect and implement a platform with capabilities similar to leaders like Hyros, Triple Whale, NeuraLogix and Popsixle.

This is an opportunity to design complex attribution models leveraging machine learning and artificial intelligence. You should have exceptional skills in:

- Multi-touch attribution tracking across channels

- Developing machine learning models for optimizing attribution

- Implementing probabilistic and algorithmic attribution approaches

- Connecting APIs and building pipelines to ingest data from multiple sources

- Building scalable cloud-based analytics architecture

- Creating customizable attribution models and journeys

- Developing interactive visualizations and reporting of model insights

- Ensuring rigorous data governance and privacy protections

Requires proven experience building, implementing and optimizing attribution solutions at scale. Significant expertise in languages like Python and JavaScript is needed. Background in data science and attribution consulting work is strongly preferred. This is a technical, hands-on role for an attribution modeling expert passionate about developing cutting-edge AI-powered software. Please highlight your experience with specific attribution approaches and methodologies in your application. Strong communication skills are key as you will interact with business and marketing teams to optimize models.

We are looking for a talented data scientist to join our team.

Job requirements:

1. 2+ years experience with data science tasks

2. Specialist in time series forecasting

3. Know how to work on Aws as a cloud infrastructure

4. Know how to work on big data (billions of rows)

5. Know how to work on existing GitHub repos with implemented code.

Job info:

Your job is to replace our previous data scientist and continue his job to:

1. improve accuracy of demand forecasting problem, 3 years of history data weekly based,20k+ items, 50+ different stores (we are using xgb for now, have already tried deepar+, deeper, Arima)

2. Increase the amount of data (big data knowledge)

3. Implement the pipeline on AWS servers (cleaning, preprocessing, forecasting.)

4. Format the predictions with our use case format.

5. Make everything prepared for more clients

Seeking data analyst with familiarity of IQVIA and/or Symphony data platforms to help me determine if possible (and to be able to perform such analysis) to triangulate a single pharmacy chain’s sales of specific Rx if we do already have access a specific chain’s pharmacy sales. Example: Let’s say we have purchased CVS data on Ozempic sales by month and also purchased IQVIA data by zip codes, by month. Would we be thus able to determine Walgreens and Walmart sales by triangulation/data science. note this is an example only for illustrative purposes only.

Position: Expert Data Scientist

Specialization: Unsupervised Fraud Detection/Outlier Detection

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

Please find here a blog that is an introductory to the challenge that we're handling with: https://medium.com/dataman-in-ai/2-features-for-healthcare-fraud-waste-and-abuse-7c262ac59859

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.

An example of this project can be -

If we have 3 cases where Chest X-RAY (medical test) was ordered - in the first, patient has infection and fever and Chest X-RAY was ordered. In the second case, a procedure was scheduled to a patient and Chest X-RAY was ordered. In the third case, a patient came to the hospital with a broken leg, and Chest X-RAY was ordered. The third case is an outlier, because a broken leg and Chest X-RAY are not related. We need to flag on the third case, and specifically on the Chest X-RAY.

About the data - structured dataset consists majorly Boolean features of medical conditions, medical history, medical test, demographics, financial.

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 models, etc. for fraud detection and outlier detection.

Feature Engineering: Wise Feature Engineering to add to our working pipeline, we would like to add a couple of additional features, add additional model that will cover some other angels, for example, similarity model (Spectral/Contextual Clustering), and time series analysis model, and plug them into our current processes.

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.

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.

** It is not anomaly detection, it is fraud detection.

Qualifications:

- Proven experience (at least 3 years) working on fraud detection and/or outlier detection projects, Python and Data Science.

- Strong background in Feature Engineering, handling imbalanced datasets and designing solutions to address data class imbalance.

- Proficiency in programming languages such as Python, ML

- Experience in analyzing and interpreting complex learning event sequences for fraud 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 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.

Statement of Work: Ethereum Researcher

Task:

The Ethereum Researcher will be responsible for conducting in-depth research and analysis on various aspects of the Ethereum blockchain network. The primary objective of this role is to contribute to the advancement of Ethereum's technology and ecosystem by identifying and proposing innovative solutions, improvements, and optimizations. The researcher will delve into areas such as consensus algorithms, scalability, privacy, security, smart contracts, and other relevant topics.

Responsibilities:

1. Conduct comprehensive research on Ethereum's underlying technology and related areas.

2. Identify and propose improvements, optimizations, and new features to enhance the Ethereum network.

3. Collaborate with the development team to provide technical insights and support.

4. Publish research findings in academic journals, conferences, and contribute to the Ethereum community through blog posts and whitepapers.

5. Stay abreast of the latest advancements in blockchain technology and evaluate their potential impact on Ethereum.

6. Collaborate with other researchers, developers, and stakeholders to foster an environment of knowledge sharing and innovation.

Qualifications:

1. Strong background in computer science, cryptography, or a related field.

2. Extensive experience in blockchain technology, with a specific focus on Ethereum.

3. Proficient in conducting research, including literature reviews, data analysis, and experimentation.

4. Solid understanding of consensus algorithms, smart contracts, scalability, and privacy mechanisms.

5. Proven track record of publishing research papers in reputable conferences or journals.

6. Excellent written and verbal communication skills to effectively present research findings and collaborate with team members.

7. Ability to work independently, manage multiple projects, and meet deadlines.

The Ethereum Researcher will play a crucial role in pushing the boundaries of Ethereum technology, driving innovation, and contributing to the advancement of the broader blockchain ecosystem.

Statement of Work: Ethereum Researcher

Task:

The Ethereum Researcher will be responsible for conducting in-depth research and analysis on various aspects of the Ethereum blockchain network. The primary objective of this role is to contribute to the advancement of Ethereum's technology and ecosystem by identifying and proposing innovative solutions, improvements, and optimizations. The researcher will delve into areas such as consensus algorithms, scalability, privacy, security, smart contracts, and other relevant topics.

Responsibilities:

1. Conduct comprehensive research on Ethereum's underlying technology and related areas.

2. Identify and propose improvements, optimizations, and new features to enhance the Ethereum network.

3. Collaborate with the development team to provide technical insights and support.

4. Publish research findings in academic journals, conferences, and contribute to the Ethereum community through blog posts and whitepapers.

5. Stay abreast of the latest advancements in blockchain technology and evaluate their potential impact on Ethereum.

6. Collaborate with other researchers, developers, and stakeholders to foster an environment of knowledge sharing and innovation.

Qualifications:

1. Strong background in computer science, cryptography, or a related field.

2. Extensive experience in blockchain technology, with a specific focus on Ethereum.

3. Proficient in conducting research, including literature reviews, data analysis, and experimentation.

4. Solid understanding of consensus algorithms, smart contracts, scalability, and privacy mechanisms.

5. Proven track record of publishing research papers in reputable conferences or journals.

6. Excellent written and verbal communication skills to effectively present research findings and collaborate with team members.

7. Ability to work independently, manage multiple projects, and meet deadlines.

The Ethereum Researcher will play a crucial role in pushing the boundaries of Ethereum technology, driving innovation, and contributing to the advancement of the broader blockchain ecosystem.

Project Description:

We are seeking an experienced Microsoft BI Specialist to perform in-depth analysis on a dataset of 20,000 publicly traded stocks. The candidate will work closely with our data science team to develop interactive dashboards, perform statistical analysis, and create predictive models.

Responsibilities:

Import and clean large datasets of stock market data into Microsoft BI

Develop DAX queries for advanced data manipulation

Create interactive dashboards to visualize key performance indicators (KPIs)

Perform time-series analysis to identify trends and anomalies

Utilize machine learning algorithms to predict future stock movements (optional)

Collaborate with data scientists to integrate findings into existing models

Document the workflow and findings in a clear, concise manner

Requirements:

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

Minimum of 3 years of experience with Microsoft BI, specifically in creating complex DAX queries and Power Query

Strong understanding of financial metrics and indicators used in stock market analysis

Proficiency in statistical analysis and time-series forecasting

Experience with machine learning algorithms, particularly for financial data, is a plus

Excellent communication skills, both written and verbal

Portfolio showcasing relevant projects

Preferred Skills:

Familiarity with Python or R for additional data manipulation or modeling tasks

Experience with cloud-based data storage solutions like Azure Data Lake

Knowledge of API integration for real-time data retrieval

Job Description:

Are you a talented writer with a strong command of the German language? Does your background match with any of the following fields? If so, we have an exciting opportunity for you! These will be used to train and fine-tune our language models, ensuring they provide accurate and high-quality responses across different domains.

- Law

- Automotive Engineering

- ESG Reporting

- Accounting

- Data Science

- Creative Writing

Job Overview:

We are seeking proficient LLM (Large Language Model) prompt and response writers to create engaging and informative prompts and responses for a variety of topics and fields.

1. Work on various writing projects to train generative AI models, through generating prompts and responses for various projects based on the instructions and guidelines.

2. Generate similar questions and responses to improve the AI's understanding of the German language.

3. Complete a ranking for a series of responses to improve the model performance.

Qualifications:

- A bachelor's degree in German Language and Linguistics and Communication or similar programs.

- Exceptional proficiency in written German.

- Strong understanding of the fundamentals of the German language, including grammar, syntax, semantics, and pragmatics.

- Strong online research skills.

- Attention to detail, accuracy, and a commitment to delivering high-quality work.

- Ability to work independently and as part of a team to meet the commitments of the project.

- Language Proficiency Level:

- Must be fluent in German Language (C1 - C2)

- Advanced English (B2 - C1)

How to Apply:

If you are interested in this exciting opportunity, please apply immediately.

In the application, please specify your areas of expertise, and briefly describe your relevant experience. Additionally, be prepared to submit a sample prompt related to your chosen field.

We look forward to receiving your application and potentially welcoming you to our team of skilled LLM prompt writers!

Overview:

We are Kern SeedTech (P) Ltd, a leading company in the agricultural inputs-seeds sector. We are seeking a qualified API Integration Specialist to develop a solution that seamlessly integrates our WhatsApp bulk messaging service (Zoko.io) with our Microsoft Dynamics CRM. This role is vital in streamlining our customer engagement processes.

Responsibilities:

Integrate Zoko.io API with Microsoft Dynamics CRM using RESTful APIs

Work closely with the project manager and business analyst to understand requirements

Ensure secure, efficient, and smooth data flow between the two platforms

Develop documentation for the integration to facilitate maintenance and updates

Test the integration rigorously to identify and fix bugs

Conduct regular status updates and review meetings

Skills Required:

Strong expertise in programming languages such as Python, JavaScript, or C#

Proven experience with API integrations, specifically RESTful APIs

Familiarity with CRM systems, preferably Microsoft Dynamics CRM

Understanding of database management systems like SQL

Excellent communication skills

Self-motivated and able to work independently

Qualifications:

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

Minimum of 3 years of experience in API integration projects

Previous experience with Microsoft Dynamics CRM and/or Zoko.io is a big plus

I am a data and machine learning engineer, but due to time constraints, I would welcome some additional help at specific times. I am happy to co-operate with people who can help me with these. The ideal candidate is experienced in data analysis (and/or data science), extraction, and engineering. Also, a very good knowledge of Python is a must to be able to support me in smaller or larger tasks.

We are seeking skilled AI and software development contractors who are passionate about education and technology to help bring our vision to life. The ideal candidate will be someone with hands-on experience in AI-driven application development and a strong belief in the transformative power of technology in education.

Key Responsibilities:

1. Collaborate with the product team to define the AI roadmap and functionalities of the new product to be developed.

2. Develop and implement AI algorithms for personalized learning recommendations, career guidance, and resource matching.

3. Design and build a scalable and user-friendly interface for students, educators, and parents.

4. Collaborate with UI/UX designers to ensure a seamless user experience.

5. Test and refine product features based on user feedback and real-world application.

6. Ensure data privacy and security protocols are rigorously maintained.

7. Work closely with stakeholders to iteratively improve and expand the Co-pilot system based on evolving needs.

Qualifications:

1. Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field. Master’s or PhD is a plus.

2. Proven experience in developing AI-driven applications.

3. Strong knowledge of machine learning frameworks like TensorFlow, PyTorch, or similar.

4. Proficiency in software development using languages such as Python, Java, or others relevant to the project.

5. Experience with cloud platforms like AWS, Google Cloud, or Azure.

6. Familiarity with data privacy standards and best practices.

7. Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.

8. Previous experience in EdTech or a passion for education is a significant plus.

I have a website that has been built to near-completion in node/javascript, however there are a few bugs to be fixed, and a few enhancements I would like to make to it before releasing it as a live product.

Some are very straightforward, others may take a couple of days -- I'm expecting that for someone who knows what they're doing there's maybe up to 2 weeks of meaningful work remaining to get it to where I'd like it to be for alpha release.

All desired bugs and enhancements are documented in github and the site is currently live in production, you'll need a Vercel account to be added to the team.

There are 9 issues in the register (which have been prioritised) that I need completed as part of this job. These items range in complexity and I'm happy to jump on a video call and provide more context/do a detailed walk-through of what's needed if you'd like to see more detail.

I also want to be able to do a QA/run through and if more enhancements or issues come up, I will do a contract variation, but I'm hoping to find someone who's got some capacity and flexibility to stay with it after getting across the code base if additional items do come up.

We’re an innovative AI development team looking for a highly motivated and reliable developer with a desire to learn and work on cutting-edge innovative AI/ML projects. The successful candidate will work on a per-project basis, with possibility of turning into a full-time position, remote with daily communication with team leader and other developers.

Key Responsibilities:

Development of coding requirements with quality and testing

Communicate status updates and issues promptly and reliably

Work as part of a team, using scrum methodology

Provide clever / creative ways of solving issues as they arise

Ideas and recommendations relevant to the project are highly encouraged

Ability to work and troubleshoot with little supervision

Key Tasks:

Program efficient, modular, well-documented Python or NodeJS code

Scripting, API integrations

Text, image and tabular data analysis

Setup and maintain local and cloud environments according to needs

Troubleshooting and debugging

Documentation and testing

Expectatives

Interests

AI / ML Projects

Data science

Python and backend development

Technical

Minimum 2-3 years of experience in backend development

Minimum 1 year in AL / ML development: LLMs, NLP or computer vision

Experience with: Python, Flask, FastAPI, SQL, JSON

Desirable knowledge in with: NodeJS, Express, ReactJS, NextJS

Knowledge of Agile Processes (Scrum, Kanban)

Understanding of code principles: SOLID

Understanding of REST APIs

Understanding of cloud tech (AWS, Google)

Understanding of containers

Problem solving skills

Personal laptop

Interpersonal:

Responsible, reliable and good communicator

Proactive

Team player attitude

Learning and exploring mindset

Intermediate to good level of english

Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve like humans. It is a branch of computer science that aims to create smart machines capable of performing tasks that typically require human intelligence. AI technologies include machine learning, where algorithms are trained on data to improve their performance over time, and deep learning, which involves neural networks with many layers (hence the term "deep") to analyze patterns in data.

AI systems can be categorized into two types:

Narrow AI (Weak AI): This type of AI is designed to perform a specific task or a narrow set of tasks. Examples include virtual assistants like Siri and Alexa, as well as recommendation algorithms used by streaming services and online retailers.

General AI (Strong AI): This refers to AI that possesses human-like intelligence and can understand, learn, and apply knowledge across a wide range of tasks. General AI, while a popular topic in science fiction, has not yet been achieved and remains a goal for future AI research.

AI applications are diverse and include areas such as natural language processing (enabling machines to understand and generate human language), computer vision (enabling machines to interpret visual information), robotics, autonomous vehicles, and more. AI has the potential to revolutionize various industries, making processes more efficient and enabling new possibilities in fields like healthcare, finance, and entertainment.

Currently looking for a data science specialist with good knowledge of Google Analytics especially Google Analytics 4 and Data Studio. The ideal candidate should be able to start from already created reports and be able to integrate into our data analysis team right away. We need help assembling reports and analyzing data from multiple sources including web, purchase and overall CRM.

Seeking Loan Portfolio Analyst and Dashboard Developer, who will be responsible for evaluating our loan portfolio's performance and creating a dynamic and user-friendly dashboard using the Periscope web app.

Key Responsibilities:

Loan Portfolio Analysis:

Perform in-depth analysis of our loan portfolio, including historical performance, default rates, and other key metrics.

Identify trends and potential areas for improvement in loan origination, underwriting, and servicing.

Data Collection and Management:

Gather, clean, and maintain data from various sources, including internal databases and external data providers.

Ensure data accuracy and completeness for reliable analysis.

Dashboard Development:

Develop a user-friendly, interactive dashboard on the Periscope web app to visualize loan portfolio performance.

Customize the dashboard to display key performance indicators and metrics in a visually appealing manner.

Implement drill-down and filtering options for dynamic data exploration.

Data Visualization:

Create compelling data visualizations, including charts, graphs, and tables, to effectively communicate loan portfolio insights.

Ensure the dashboard is accessible and understandable for non-technical stakeholders.

Reporting and Documentation:

Generate regular reports and presentations summarizing findings and recommendations.

Document the data analysis process and dashboard design for reference and knowledge sharing.

Collaboration:

Collaborate with cross-functional teams, including the credit, risk management, and IT departments, to align data analysis with business objectives.

Qualifications:

Bachelor's degree in a related field, such as Data Science, Computer Science, or Finance.

Proven experience in data analysis, particularly related to financial data and loan portfolios.

Proficiency in data visualization tools, with expertise in Periscope or similar web-based dashboard development platforms.

Strong programming skills in languages like SQL, Python, or R.

Knowledge of database management and data integration.

Excellent communication and presentation skills.

Ability to work independently and as part of a team.

Attention to detail and a commitment to data accuracy.