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

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...

Location

India , Hyderabad

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience applying theoretical models in an applied environment

Job Responsibility

Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
Develop efficient data querying infrastructure for both offline and online use cases
Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations

Decision Scientist II

Turn Data into Action with Retail Insight. At Retail Insight (RI), we transform ...

Location

United States , Chicago

Salary:

95000.00 - 110000.00 USD / Year

Retail Insight

Expiration Date

Until further notice

Requirements

Proven experience working on analytics projects within a STEM background
Pragmatic approach to deadlines, focusing on deliverables
Practical programming experience, ideally using Python, R, etc
Knowledge and experience of using Machine Learning, Data Science, and Statistical techniques
Experience presenting results and proposals to a cross-functional team
Familiarity with cloud computing tools, ideally Azure

Job Responsibility

Designing our algorithms using relevant statistical and machine learning techniques
Define the quantitative elements of projects for internal R&D and external clients, predominantly success criteria
Contribute to the design, implementation, and testing of our products
Communicating with varying levels of stakeholder in both technical and non-technical language
Have a continuous improvement mindset, with an eye for detail and pride in your work
Writing high-quality and well-documented code

What we offer

Hybrid & Flexible Working: Work from anywhere with 2 days in-office per week (typical), plus summer hours and extra days off for life’s big moments (including your birthday and wedding)
Generous Time Off: 26 days PTO (increasing with service), paid volunteer days, and full support for your wellbeing, including mental health resources
Career & Learning: Access to a top-tier learning platform, career progression plans, and support to create your ideal home workspace
Health & Financial Benefits: Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan
Personal Perks: Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform

Fulltime

Decision Scientist II

Turn Data into Action with Retail Insight. At Retail Insight (RI), we transform ...

Location

United Kingdom , Richmond-Upon-Thames

Salary:

Not provided

Retail Insight

Expiration Date

Until further notice

Requirements

Proven experience working on analytics projects within a STEM background
Pragmatic approach to deadlines, focusing on deliverables
Practical programming experience, ideally using Python, R, etc
Knowledge and experience of using Machine Learning, Data Science, and Statistical techniques
Experience presenting results and proposals to a cross-functional team
Familiarity with cloud computing tools, ideally Azure

Job Responsibility

Designing our algorithms using relevant statistical and machine learning techniques
Define the quantitative elements of projects for internal R&D and external clients, predominantly success criteria
Contribute to the design, implementation, and testing of our products
Communicating with varying levels of stakeholder in both technical and non-technical language
Have a continuous improvement mindset, with an eye for detail and pride in your work
Writing high-quality and well-documented code

What we offer

Flexible Working – Enjoy a hybrid work model (typically 2 days in the office) with flexibility based on business needs, plus a work from anywhere policy to give you freedom to explore
Time Off – 25 days annual leave (+ bank holidays), increasing with length of service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine
Learning & Development – Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth
Health & Wellbeing – Private Medical Insurance, a healthcare cash plan, and mental health support via Help@Hand. Plus, we’ll ensure you have a safe and productive home setup with a workspace assessment
Giving Back – Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice (we’ll match it!), and make a difference with Give as You Earn
Extra Perks – A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym discounts

Fulltime

Senior Data Engineer II

We are looking for a skilled Data Engineer to join our growing team. You will pl...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a Data Engineer or in a similar role working with cloud-based data platforms
Technical Skills: Cloud & Orchestration: Airflow (self-managed or managed services like Amazon MWAA) for workflow orchestration, DAG development, and scheduling
Familiarity with best practices for Airflow DAG structure, dependency management, and error handling
AWS Expertise: Hands-on experience with AWS Lake Formation, S3, Athena, and related services (e.g., Lambda, Glue, IAM)
Snowflake: Proficient in setting up data warehouses, configuring security, and optimizing queries on Snowflake
Data Ingestion & Transformation: Experience with Airbyte or similar tools for data ingestion
dbt or other SQL-based transformation frameworks for modular data processing
Programming: Proficiency in Python and/or Java/Scala for building data pipelines and custom integrations
Query Languages: Advanced knowledge of SQL for data manipulation and analysis

Job Responsibility

Data Pipeline Orchestration: Design, build, and maintain end-to-end data pipelines using Airflow (including managed services like Amazon MWAA) to orchestrate, schedule, and monitor batch/streaming workflows
Implement DAGs (Directed Acyclic Graphs) with retry logic, error handling, and alerting to ensure data quality and pipeline reliability
Data Ingestion & Transformation: Integrate data from various sources using Airbyte for ingestion and dbt for transformations in a scalable and modular fashion
Collaborate with Data Analysts and Data Scientists to implement transformations and business logic, ensuring data is analytics-ready
Data Modeling & Warehousing: Design and implement efficient data models for both structured and semi-structured data in AWS S3 (data lake) and Snowflake (data warehouse)
Ensure data schemas and transformations support advanced analytics, BI reporting, and machine learning use cases
Data Governance & Security: Utilize AWS Lake Formation APIs and best practices to maintain data security, access controls, and compliance
Work closely with IT security to establish robust encryption standards, audit trails, and identity/role-based access
Performance Optimization: Optimize AWS Athena queries and configurations (e.g., data partitioning) for performance and cost efficiency
Monitor and tune Airflow DAGs, Snowflake queries, and data transformations to improve throughput and reliability

What we offer

Support for professional accreditations
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Data Engineer II

We’re looking for a Data Engineer II to join our Decisions & Insights team — the...

Location

United States , San Francisco

Salary:

101250.00 - 162000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Engineer, Analytics Engineer, or similar hybrid role
Advanced SQL skills with strong understanding of schema design and analytical database patterns
Strong Python experience for data manipulation, scripting, and automation
Strong analytical mindset, attention to detail, and a passion for turning complex datasets into clear insights
Solid Git experience for collaboration and version control
Experience integrating and analyzing data from AWS services (e.g., Redshift, S3, APIs)

Job Responsibility

Design, develop, and maintain automated ETL/ELT pipelines and analytical models in Redshift using SQL, dbt, or SQLMesh
Build clean, structured datasets that enable fast, self-serve insights for PMs, analysts, and operational agents
Create dashboards and analytical tools (e.g., Tableau) that make insights intuitive and actionable
Optimize SQL queries, schemas, and table designs for high-volume analytics workloads
Partner with product managers, data scientists, and engineering teams to deliver analysis that supports product and operational decisions
Use Python to automate processing, improve pipeline reliability, and support advanced analytical workflows
Apply best practices for Git-based version control, testing, documentation, and data quality monitoring
Participate in design reviews for new analytical features and data systems

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Scientist II, In Vivo, Enzymatic and Metabolic Therapeutic Area

The Scientist will join the Enzymatic and Metabolic In Vivo team to design and e...

Location

United States , Petaluma, CA

Salary:

116000.00 - 159500.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

PhD in a related subject area with demonstrated in vivo research experience in metabolic disease
Postdoctoral or industry (2-5 years preferred) experience in genetic metabolic diseases
Extensive hands-on experience with rodent in vivo work in the metabolic field
Demonstrated experience in metabolic biology/disease research in academia or industry (preferred) including publication record
Strong analytical, problem-solving, and decision-making skills
Strong understanding of genetically engineered models, breeding, and management and Gene therapy modalities
Excellent oral and written communication skills
Passion for contributing your scientific skills to develop therapies for patients in need
Must be able to utilize computer databases for analysis, data entry, and point of care observations
Must be able to work under time constraints with minimal direction of day-to-day responsibilities, including collaboratively working with multidisciplinary teams

Job Responsibility

Conduct research on genetic metabolic diseases
Contribute to novel therapeutic programs based on innovative, ground-breaking discoveries that could lead to new, high-impact opportunities for patients
Perform research and publish findings in high-impact journals and present research at major conferences
Effectively partner with other scientists and the Research and Early Development team to develop and execute on the program's strategic plan
Present program data at a range of internal forums, including project team meetings, Research Department Seminars and Research leadership governance forums
Write, review and contribute to study synopses, protocols, study reports and regulatory documents
Collaborate with various BioMarin functions, CROs, university or analytical laboratories, business partners, as necessary to ensure appropriate/timely progression of projects
Participate in multi-disciplinary drug development teams and may lead sub-teams
Execute hands-on responsibilities including but not limited to animal handling and restraint (rodents), administration via various routes of administration, including intravenous (tail-vein), in-life animal health monitoring and measurements, clinical observations, sample collection and processing, and accurate data collection
Provide daily care and monitoring of mice or rats, including health checks and documentation

What we offer

Discretionary annual bonus
Discretionary stock-based long-term incentives
Paid time off
Company-sponsored medical, dental, vision, and life insurance plans

Fulltime

Machine Learning Engineer II - Training

As a Machine Learning Engineer II on our Training team, you will develop algorit...

Location

United States , Boston

Salary:

125000.00 - 170000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
2+ years of ML engineering, applied research, or a similar role
2+ years experience applying advanced mathematical and statistical techniques
Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
Proficiency in scientific Python and SQL
Excellent verbal and written communication skills

Job Responsibility

Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
Contribute to technical roadmap development and architectural decision-making for projects that you are involved in
Work closely with a team of data scientists in developing algorithms that power member-facing features
Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

What we offer

equity
benefits

Fulltime

New

AI Software Engineer II

Planet DDS is a leading provider of a platform of cloud-based solutions that emp...

Location

United Kingdom , Glasgow

Salary:

Not provided

Planet DDS

Expiration Date

Until further notice

Requirements

2-4 years of professional software engineering experience, including at least 4 years in AI/ML-focused roles
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
Experience working in a SaaS or enterprise software environment

Job Responsibility

Build scalable solutions that integrate AI capabilities into our products and services
Collaborate with data scientists, product managers, and backend/front-end engineers to translate prototypes into reliable, maintainable code
Support end-to-end development of AI systems, including data ingestion, model training, evaluation, and deployment
Implement best practices in model versioning, monitoring, and continuous improvement
Contribute to the evolution of our AI/ML infrastructure, including CI/CD pipelines and MLOps tools
Stay current on advancements in AI, ML, and deep learning and assess their applicability to business needs
Ensure AI solutions are ethical, interpretable, and aligned with regulatory requirements

Data Scientist II

The New York Times

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 06, 2026

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