Mid Level Data Scientist Job at Altamira Technologies (Tampa)

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

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

Data Scientist - Level 4

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

Location

United States , Annapolis Junction

Salary:

150000.00 - 220000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A Bachelor's degree and 15 years of relevant experience. An associate's degree plus 17 years of relevant experience may be considered for individuals with in-debt 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

plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers

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

Talent Assessment Scientist (Mid-Level or Senior)

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Seattle

Salary:

137700.00 - 234600.00 USD / Year

Boeing

Expiration Date

June 20, 2026

Requirements

Master's degree or higher
1+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, SPSS, SAS, etc.)

Job Responsibility

Develop and maintain comprehensive project plans and timelines, manage resource scheduling, and provide regular progress updates on project status
Conduct thorough job analyses, including interviews, observations, and job analysis questionnaire development, as part of larger assessment development and validation projects
Lead and support the development of assessments for various hourly and salaried roles, employing classical test theory (CTT) and item response theory (IRT) methodologies to ensure the quality, validity, and fairness of assessments
Train recruiters and hiring managers on assessments and their use and troubleshoot the assessments and their integrations
Design and implement concurrent and predictive validation studies to evaluate the effectiveness of selection assessments
Prepare technical documentation that meets legal standards and adheres to the Uniform Guidelines on Employee Selection Procedures
Design and lead research projects, such as capturing quality of hire, to enhance hiring practices
Collaborate with the Employee Listening and Organizational Research and Assessment team on research initiatives and data analysis to support data-driven decision-making
Cultivate and maintain relationships with external vendors providing custom and standard testing or screening solutions
Monitor vendor performance and conduct periodic reviews to ensure high service quality

What we offer

competitive base pay and variable compensation opportunities
health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work
Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits

Fulltime

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

Data Scientist

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

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Mid Level Data Scientist

Job Description

Job Responsibility

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