Senior Data Scientist Job at The New York Times (New York)

Senior Data Scientist

The Community Growth team at the Wikimedia Foundation works to improve knowledge...

Location

United States of America , San Francisco

Salary:

106227.00 - 167858.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

Fluency in English
Bachelor’s degree and five years related experience OR a Master’s degree and at least three years related experience
or equivalent advanced work experience in data analysis, data science, research and analytics or a related field
Proven experience with programming languages, particularly SQL and Python
Experience calling and working with APIs in Python, including authentication, pagination, and JSON data handling
Experience working with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
Experience with data visualization and dashboarding tools like Apache Superset, Google Looker Studio, or similar tools
Experience with Google Suite (Including the full suite of collaborative apps and advanced coding in Google Sheets/MS Excel)
Ability to address problems of diverse scope using good judgment in selecting methods and techniques for obtaining quality and efficient solutions
Ability to communicate findings and recommendations clearly to colleagues with diverse backgrounds and areas of expertise

Job Responsibility

In partnership with the DL&E Manager, building data systems for grant-funded activities and outcomes that enable standardization and connection with our primary data pipelines
Creation and maintenance of internal data dashboards to track Community Growth programs' outcomes and impacts
Identifying actionable insights from trends and themes across datasets to inform reports and decision-making about grantmaking, partnerships, and programmatic interventions
Designing Community Growth data processes for maximum effectiveness, building data frames and connecting to pipelines for effective and efficient storage and retrieval, basic aggregation and ETL
Collaborating across departments, including with technology data teams, to ensure that calculation of metrics are aligned with Foundation-level metric practices
Proactively identifying requirements to support and improve an evolving data ecosystem

Fulltime

Senior Clinical Data Scientist - Applied Data Enablement

Pivotal role focuses on enabling our customers to make informed decisions based ...

Location

United States , Seattle

Salary:

155000.00 - 170000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent in a quantitative field such as computer science, engineering, statistics, mathematics, or economics
Minimum of 3 years of hands-on experience in data analytics, including proficiency in SQL, Spark, R, and/or Python, with a focus on executing data exploration, profiling, and validation projects
Proven track record of working effectively with cross-functional teams and communicating complex findings to diverse audiences
Ability to thrive in a fast-paced environment, demonstrating initiative and delivering high-quality results
Exceptional written and verbal communication skills, with the ability to convey project status, timelines, and project outcomes clearly
Proficient in applying generative AI and related tools across workstreams to enhance efficiency and scalability

Job Responsibility

Develop a deep understanding of Truveta Data, its characteristics, and its applications in clinical research
Create customer-facing reports and tutorials that summarize findings and provide actionable recommendations for research studies utilizing Truveta Data, driven by a prioritization list derived from customer and internal stakeholder needs
Design tailored artifacts and templates for multiple skill levels, serving as key inputs to enhance Truveta’s AI initiatives
Present findings in both written and oral formats to diverse audiences, including executive-level customers, detail-oriented analysts, and internal product and engineering teams
Engage with customers to understand research needs and effectively communicate results
Develop a deep understanding of Truveta Studio, our analytical platform
Write high-quality, reproducible analysis code in SQL, R, Python, and Spark, and share it with internal teams and customers for educational purposes

What we offer

Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options

Fulltime

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Data Scientist

Data Science is all about breaking new ground to enable businesses to answer the...

Location

United States , Round Rock, Texas; Hopkinton, Massachusetts

Salary:

160000.00 - 206000.00 USD / Year

Dell

Expiration Date

Until further notice

Requirements

Proficient with writing sophisticated, clean, and object oriented Python code
Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) with experience in ML model deployment
Ability to work with internal stakeholders to transfer business questions into data science problem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists
5+ years of experience as a data scientist

Job Responsibility

Contribute to business strategy and influence decision making based on information gained from deep dive analysis
Produce actionable and compelling recommendations by interpreting insights from complex data sets
Design processes to consolidate and examine unstructured data to generate actionable insights
Partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines
Solve business and customer issues utilizing AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software products
Collaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Senior Data Scientist

At Zenjob, you’ll work on data products that actually ship and shape how thousan...

Location

Germany , Berlin

Salary:

Not provided

FoodLabs & Atlantic Labs

Expiration Date

Until further notice

Requirements

4+ years of applied Data Science experience, ideally in marketplaces or other matching-heavy environments
A curious, proactive, impact-driven mindset with strong business acumen
Enjoy working in environments where things move fast, priorities evolve, and iteration happens quickly
Solid ML expertise in scoring, ranking, and optimization techniques used in matching and allocation systems
Experience building forecasting models using time-series and probabilistic approaches
Strong experimentation skills, including A/B testing and quasi-experimental methods, with the ability to interpret results clearly
Proficiency in SQL and Python with the ability to move from exploration to production
Clear communication and strong product thinking, able to influence decisions and define success metrics

Job Responsibility

Shape product decisions: Data should guide decisions from the start. You will proactively explore our data to identify product opportunities, inefficiencies, and growth levers. You’ll translate complex findings into actionable insights that help PMs and business leaders prioritize what truly matters
Forecast marketplace dynamics: Strong forecasting prevents shortages and overbooking. You will model supply and demand patterns using robust time-series and probabilistic methods that support planning and operational decisions
Improve matching efficiency: Better matching means higher fill rates, happier customers, and less manual work. You will build and refine ranking and allocation models so the right talent reaches the right job quickly and reliably, whether through ML or other data-driven methods
Experiment with confidence: Good experiments beat guesses. You will design and run end-to-end experiments using methods suited for a two-sided marketplace (A/B, quasi-experimental approaches, switchbacks, holdouts) and interpret results with clarity
Ship models that matter: Models only matter when users benefit from them. You will own the process of turning analyses or models into production, working with engineering on monitoring, fallback strategies, and safe rollouts

What we offer

28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days)
1 day of special leave for community service
5 days of paid educational leave
Possibility of unpaid leave
Hybrid working model
Dog-friendly office
Annual training budget of EUR 750
Mentoring opportunities
Constant career development conversations
30 EUR Urban Sports Club grant per month

Senior Data Scientist

Seeking a talented Senior Data Scientist to join our Data Science team, dedicate...

Location

United Kingdom , London; Glasgow

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Extensive experience in delivering Data Science projects in a commercial context
Expert in machine learning techniques (e.g., clustering, classification, regression, NLP)
Ability to write production standard code in Python with a strong grasp of coding principles
Ability to articulate technical findings in business terms and demonstrate value to stakeholders
Familiarity with AWS data science services, including SageMaker
Experience working with big data environments, particularly using PySpark
Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools

Job Responsibility

Lead Data Science projects leveraging your deep technical skillset in machine learning to guide and mentor other members of the team
Develop machine learning models that deliver commercial value for the Corporate Bank
Critique and suggest ways in which technical methodologies can be improved on projects within the team
Verify that outputs being produced by the team are technically sound and accurate
Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science
Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems

Fulltime

Senior Data Scientist

Join Our Expert Team. We are seeking a skilled Senior Data Scientist to join our...

Location

Austria , Vienna

Salary:

Not provided

Arsenalia

Expiration Date

Until further notice

Requirements

Minimum 3 years of experience as a Data Scientist or in a similar role
Strong skills in programming languages such as Python
Experience in developing and optimizing machine learning models
Knowledge of prompt engineering techniques for natural language models
Ability to analyze large datasets and extract valuable insights
Team-oriented mindset and effective communication with clients
Curiosity and interest in emerging technologies
Good command of English (B2 level)
Flexibility in adapting to new contexts and diverse projects
Availability for short- and medium-term business travel

Job Responsibility

Design and optimize predictive models, machine learning and deep learning algorithms
Collaborate with clients to define needs and deliver data-driven solutions
Implement data-based solutions with Azure Databricks, Microsoft Fabric, and Azure Machine Learning
Contribute to R&D initiatives to advance analytical techniques
Create reports and visualizations to communicate insights effectively
Analyze large datasets to extract valuable information
Use Microsoft tools like SQL Server and Azure SQL Database for data management and analysis
Develop and refine prompts for LLMs/SLMs to enhance AI solution performance
Extract insights from big data using Azure Data Lake and Azure Synapse Analytics
Grow in a dynamic, collaborative environment with skilled and motivated teammates

What we offer

Welfare Package
Worklife Kit
Empowering People
Open Space, Open Mind
Career Path
Learning & Development

Senior Data Scientist

We are seeking a highly experienced and motivated Senior Data Scientist to join ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience

Job Responsibility

Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment
Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery
ensure quality control (QC) and validation of work produced by junior data scientists
Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes
Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities
Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks
Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility
Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities
Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders
Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit

What we offer

competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Senior Data Scientist

The New York Times

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 24, 2026

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