Data Scientist

Data Scientist Mid Level

Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base....

Location

Greece

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

2–4 years of experience building ML models, with at least some of that work deployed to production.
Solid fundamentals in machine learning: you understand bias-variance trade-offs, cross- validation, regularisation, and can reason about why a model is underperforming.
Working proficiency in Python and comfort with core ML libraries.
Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time- series modelling.
Strong experience with software engineering practices — Git, testing, CI/CD, code review.
Curiosity about LLMs and modern AI tooling.
Clear communication — you can explain your modelling choices and results to both technical and non-technical colleagues.

Job Responsibility

Build and iterate on ML models — from data exploration and feature engineering through training, evaluation, and deployment.
Implement and maintain components of production ML pipelines: data pre-processing, model serving, monitoring, and retraining workflows.
Contribute to LLM-powered systems — building prompt chains, evaluation harnesses, RAG pipelines, or fine-tuning workflows.
Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models.
Write clean, tested, production-quality Python code — not just notebooks.
Participate in code reviews, design discussions, and experiment retrospectives.

What we offer

Benefits healthcare
Remote working - café, bedroom, beach - wherever works
Truly flexible working hours - school pick up, volunteering, gym
Generous Leave – holidays in line with Greek Law, plus bank holidays and enhanced family leave
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority, as is being a nice person
Transparent and open culture - you will be heard
Development - focus on bringing the best out of each other

Fulltime

Data Scientist Mid Level

Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base....

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

2-4 years of experience building ML models, with at least some of that work deployed to production
Solid fundamentals in machine learning: you understand bias-variance trade-offs, cross-validation, regularisation, and can reason about why a model is underperforming
Working proficiency in Python and comfort with core ML libraries
Exposure to at least one of: NLP/LLMs, computer vision, recommender systems, or time-series modelling
Strong experience with software engineering practices — Git, testing, CI/CD, code review
Curiosity about LLMs and modern AI tooling
Clear communication — you can explain your modelling choices and results to both technical and non-technical colleagues

Job Responsibility

Build and iterate on ML models — from data exploration and feature engineering through training, evaluation, and deployment
Implement and maintain components of production ML pipelines: data pre-processing, model serving, monitoring, and retraining workflows
Contribute to LLM-powered systems — building prompt chains, evaluation harnesses, RAG pipelines, or fine-tuning workflows
Analyse large multimodal datasets (text, image, video, structured metadata) to extract features and insights that feed downstream models
Write clean, tested, production-quality Python code — not just notebooks
Participate in code reviews, design discussions, and experiment retrospectives

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
Generous leave (27 days holiday plus bank holidays and enhanced family leave)
Annual bonus
Impactful projects
People oriented culture

Fulltime

Mid Level Data Scientist

Altamira is searching for a Data Scientist in Tampa, Florida. Altamira Technolog...

Location

United States , Tampa

Salary:

Not provided

Altamira Technologies

Expiration Date

Until further notice

Requirements

Proficient in Python, ideally will know other languages like Java
Experienced in production level ETL pipelines development and deployment
Experienced in ETL pipeline tools, ideally Prefect or NiFi (Prefect is preferred)
Understanding of the data science process and experience with Exploratory Data Analysis
Must have TS/SCI clearance to start and the willingness/ability to obtain a CI Polygraph

Job Responsibility

Responsible for overall data science and data characterization technologies and will report to the on-site program manager
Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation
Results must be documented in writing and communicated both verbally and through multi-media methods to senior management

Staff Data Scientist, Airports and Travel

As a Staff Data Scientist, you will serve as a strategic thought leader and "Pro...

Location

United States , San Francisco

Salary:

216000.00 - 240000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus)
7+ years of relevant industry experience in a Product Data Science, Applied Science, or equivalent role, with a proven track record of driving organizational impact
Strong ability to understand user behavior from data, identify and size opportunities, and drive solutions end to end
Expert proficiency with Python, Pandas and SQL for large-scale data analysis, modeling, and production-level code collaboration
Expertise in advanced experimentation (A/B testing, causal inference) and applying statistical rigor to complex business problems
Exceptional communication skills, with proven experience in synthesizing complex data into persuasive narratives for both technical and executive audiences

Job Responsibility

Strategic Problem Finding: Proactively identify, frame, and quantify the most ambiguous, high-leverage growth opportunities for the business, translating them into actionable, organization-level projects
Lead End-to-End Solutions: Identify business opportunities and transform them into rigorous, data-driven solutions to build the next generation of end-to-end experiences for Uber travelers by partnering with engineering, product, and operations to co-drive execution
Advanced Experimentation Leadership: Design, own, and rigorously analyze complex experimentation frameworks, including those dealing with multi-market attribution, to provide definitive launch recommendations and set the scientific agenda for the team
Infrastructure & Measurement Ownership: Define and champion the adoption of canonical business health metrics across the organization, partnering with data engineering to build scalable, reliable data and measurement infrastructure
Executive Influence: Synthesize complex data into clear, persuasive narratives and communicate strategic recommendations to senior leadership (Director/VP level), mobilizing cross-functional alignment across product, engineering, and operations
Cross-Functional Leadership: Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery. Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization
Technical Mentorship: Act as a scientific mentor, elevating the analytical and experimentation bar for junior and mid-level data scientists on the team

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible to participate in a 401(k) plan
various benefits

Fulltime

At Applied Network Solutions (ANS), we bring together some of the most curious m...

Location

United States , San Antonio

Salary:

100000.00 - 165000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Job Responsibility

Working knowledge of statistics, programing and predictive modeling
Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
Design and implement machine learning, data science and advanced analytical algorithms
Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Data Scientist - Level 3

As a Data Scientist on our team, you will: Be trusted to design and execute mach...

Location

United States , Aurora

Salary:

Not provided

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering

Job Responsibility

Working knowledge of statistics, programing and predictive modeling
Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
Design and implement machine learning, data science and advanced analytical algorithms
Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Insurance
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Fulltime

Data Scientist - Level 3

As a Data Scientist on our team, you will: Be trusted to design and execute mach...

Location

United States , Aurora

Salary:

Not provided

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Job Responsibility

Working knowledge of statistics, programing and predictive modeling
Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
Design and implement machine learning, data science and advanced analytical algorithms
Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Insurance
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Fulltime

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

9+ years of experience in a Data science role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
Good team worker with excellent interpersonal, written, verbal and presentation skills
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management

Job Responsibility

Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Work with data and analytics specialists to strive for greater functionality in our data systems
Identify trends, patterns from dataset to scope opportunities for automation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

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Data Scientist – Mid

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Data Scientist – Mid

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