Data Scientist Assistant Job at MDPI (Basel)

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...

Location

United States , San Francisco; New York City; Austin

Salary:

185300.00 - 266300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a data scientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation
Experience at an AI-native company, with exposure to building or scaling products powered by AI

Job Responsibility

Own and maintain core product data pipelines across DBT, Looker, and Omni
Build and refine dashboards that deliver self-serve, real-time insights
Lead the development and delivery of company-wide strategic insights
Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
Establish trusted partnerships as the go-to resource for product data insights
Collaborate with leadership to define the analytics roadmap and prioritize initiatives
Mentor junior team members and cross-functional partners
Support end-to-end analytics for all product launches
Deliver comprehensive strategic analyses or experiments
Lead or participate in cross-functional projects

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar
NLP development experience in a Data Scientist role or similar
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
Assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

Data Scientist Intern

The Data Scientist Intern will be responsible for assisting our full-time Data S...

Location

United States , Lincoln

Salary:

Not provided

Sandhills Global

Expiration Date

Until further notice

Requirements

Completion of or progress towards a degree in Data Science, Mathematics, Statistics, or any other applied or quantitative discipline
Experience in Python or R, and various libraries/packages
Some understanding of machine learning concepts and techniques, including tree-based models and neural networks
Ability to perform critical thinking and statistical analysis
Strong oral and written communication skills
Ability to commute when scheduled to the local office is required
Able to work independently and communicate within a team environment
Results oriented
Flexible and open to change
Stable and progressive work history

Job Responsibility

Assisting our full-time Data Scientist team in the analysis, development, and testing of code supporting our existing and future products and services
Learn, analyze, and utilize our data to solve problems and answer questions that lead us to better serve our customers
Visualize or contextualize raw data, train, evaluate, and deploy various types of modeling techniques, and communicate the resulting trends and observations
Help facilitate the curation of our data upstream from the work described above, making the actual analysis and modeling of the data possible
Assume other duties as assigned.

Data Scientist

Assistant Vice President-Data Scientist role at Citi's Analytics and Information...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University
Minimum of 7 years of proven working experience in Data Science & ML areas
Solid theoretical and hands-on knowledge of Econometrics, Statistics, Data Mining, Machine Learning & AI concepts
Exceptional programming skills in Data Science scripting (such as Python / R)
Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, OpenAI and LangChain)
Experience in SQL and interpretation of large databases (via tools such as Hive, Spark)
Exceptional analytical and critical thinking skills with demonstrated ability to think strategically
Ability to communicate results effectively and explain technical methodologies in non-technical audience
Knowledge and experience of all phases of SDLC (including requirements analysis, design, coding, testing, defect management, and deployment)
Good understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.)

Job Responsibility

Provide quantitative and qualitative insights on user experience and data sets performance
Work with cross-functional teams and leaders within the organization on modelling for critical business decisions
Identify new opportunities for leveraging data science to improve the operational efficiency of the organization
Assimilate and incorporate business requirements and technical aspects
Assist data architect and data analyst in data gathering techniques and design processes for maintenance of databases, data accuracy and integrity
Ensure high data integrity, choosing the best tools and techniques for algorithms, frameworks, and technologies
Design and develop a new process for data modelling and production, and help businesses create and track their key performance metrics
Partner with other multi-functional teams, such as Engineering, Product Management, and Design, to collaborate on projects
Set goals and metrics and define KPIs to measure and track the improvement of the data analytics process
Analyze the data modelling, revenue generation, and targeting

Fulltime

Junior Data Scientist

Aramark Sports + Entertainment is hiring a Junior Data Scientist - Oracle Park, ...

Location

United States , San Francisco

Salary:

70000.00 - 95000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field
equivalent practical experience may be considered
1–3 years of experience in an analytical or data science role
Proficiency in data manipulation and transformation using Python or R
Familiarity with SQL for data querying and analysis
Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling
Effective organizational and time management skills, with the ability to manage multiple projects simultaneously
Solid understanding of statistics, experimental design, and core data science concepts
Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences

Job Responsibility

Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences
Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations
Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations
Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants
Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives
Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist

What we offer

medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

Data Scientist

We are looking for an entry-level Data Scientist to join a dynamic analytics tea...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

1–3 years of experience in data analysis or data science roles
Proficiency in Excel, including pivot tables, and familiarity with Python
Experience with Tableau or Power BI for data visualization
Strong communication and presentation skills, with the ability to explain complex data in a clear manner
Knowledge of predictive modeling techniques and machine learning concepts
Familiarity with Microsoft SQL for database management and analysis
Ability to work on-site in New York, New York, 2–3 times per week as required
A proactive mindset and eagerness to learn and grow within a collaborative team environment

Job Responsibility

Analyze large client datasets to perform Matchback reporting using Excel and internal tools
Create visually compelling PowerPoint presentations featuring charts and graphs to summarize insights
Present analytical findings and recommendations directly to clients, showcasing strong communication skills
Collaborate with team members and executives to ensure alignment on data-driven strategies
Assist with predictive modeling projects, leveraging external vendor tools and receiving training as needed
Maintain and optimize reporting processes to ensure accuracy and efficiency
Utilize Python and SQL to support data analysis and visualization tasks
Apply data visualization techniques through tools like Tableau or Power BI to enhance reporting
Provide timely updates and insights to stakeholders, contributing to strategic decision-making

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Senior Data Scientist, Product

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

179000.00 - 210000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Proven expertise in data science, with a strong background in statistical analysis and machine learning
Outstanding problem-solving skills and the ability to think critically and creatively
Strong programming skills in Python & SQL, or other relevant languages
Experience with data visualization tools and techniques
Ability to successfully implement projects and compete in a fast-paced environment
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models

Job Responsibility

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
Define and maintain key product performance metrics
build scalable dashboards to monitor these metrics and advise decision-making
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
Assist with established methods, standard approaches, and promote a data-informed culture within the organization

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Data Scientist, Media

Mediate.ly is seeking a hands-on Data Scientist to elevate media performance ana...

Location

United States

Salary:

90000.00 - 100000.00 USD / Year

Primacy

Expiration Date

Until further notice

Requirements

5–7 years in data science/marketing analytics/digital media performance
Proficient in Python or R
strong SQL
experience with GA4/BigQuery and media platform exports
Comfort with BI tools (Looker Studio, Tableau, Power BI) and dashboard product management/ Data visualization
Familiarity with generative AI tools (e.g., OpenAI, Hugging Face, or Google Vertex AI) for automating insights, reporting, or content analysis
Comfortable in a fast-paced environment with competing priorities
Experience applying machine learning models to media mix modeling, customer segmentation, or predictive performance forecasting
Strong understanding of marketing attribution models and how to evaluate cross-channel performance using statistical techniques
Excellent communicator who can turn data into decisions for non-technical stakeholders

Job Responsibility

Analyze paid media across Google Ads, Meta, LinkedIn, Programmatic, YouTube
translate results into clear recommendations
Build/maintain attribution approaches (last-click, MTA, assisted) and funnel diagnostics
Integrate CRM/GA4/platform data to surface actionable trends by geo, audience, and creative
Develop forecasting and propensity models to guide budget allocation and channel mix
Run simulations (CPM/CPC/conv-rate scenarios) and design A/B and lift tests
Partner with SEO/CRO to connect acquisition with on-site conversion improvements
Manage the dashboard development team (backlog, priorities, sprints) and collaborate on new features that improve usability and insight depth
Gather stakeholder requirements (Accounts, Media, Leadership) and maintain a transparent roadmap
Ensure data reliability (ETL QA, schema governance, tagging/UTM standards)

What we offer

The best co-workers you’ll ever find
Unlimited PTO
Medical, Dental, Vision, 401k plus match
Annual performance bonus eligibility
Ongoing training opportunities
Planned outings and team events (remote workers included!)

Fulltime

Data Scientist Assistant

MDPI

Location:
Switzerland , Basel

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 20, 2026

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