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

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

Data Scientist

We are seeking a versatile and proactive Data Scientist to join our dynamic team...

Location

India , Pune

Salary:

Not provided

Jash Data Sciences

Expiration Date

Until further notice

Requirements

Strong Python programming skills with hands-on project experience
Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods)
Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas
Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning
Experience with NLP, Computer Vision, or Time Series Analysis
Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models)
Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy)
Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS)
Strong prompt engineering skills and understanding of prompt optimization techniques
Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them

Job Responsibility

Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems
Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques
Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions
Build and deploy production-ready LLM applications using modern frameworks and best practices
Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models
Perform prompt engineering and optimization to maximize LLM performance for specific use cases
Implement agentic AI systems and multi-agent workflows for complex automation tasks
Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks
Build sophisticated data pipelines for large-scale data processing using modern orchestration tools
Optimize database performance and create efficient SQL queries

What we offer

Competitive salary commensurate with experience
Opportunity to work on diverse, cutting-edge AI/ML projects
Collaborative and innovation-driven work environment
Rapid growth and continuous learning opportunities
Exposure to latest AI technologies and industry best practices

Applied Scientist II

Come build the core of Microsoft Copilot for enterprise with the Microsoft Turin...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Master a broad research area and understand relevant research techniques
Act as a team expert on industry trends, products, and advances, applying this knowledge to influence product needs
Review business and product requirements, incorporate research insights, and provide strategic guidance for problem‑solving
Ensure scientific rigor, support method development, and apply expertise to drive business impact
Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives
Share research findings through industry outreach, collaborate with the academic community, and support recruiting pipeline development
Document experimentation and results to promote innovation
Provide guidance on capturing processes and contribute to ethics and privacy policies related to research practices and data collection

Fulltime

Forward-Deployed Data Scientist II

As our customer base continues to grow with the excitement around BrazeAI, we’re...

Location

Romania , Bucharest

Salary:

Not provided

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Data Scientist II

Microsoft is a company where innovators come to collaborate. This is a world of ...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
2+ years of experience in data science, analytics, or related areas
2+ years of experience in applied machine learning, statistical modeling, and experimentation
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Build and deploy machine learning models and statistical analyses to improve platform performance, reliability, and cost efficiency
Partner with engineering teams to integrate predictive insights into distributed systems and services
Design and analyze experiments (e.g., A/B tests) to validate hypotheses and measure impact on customer experience and platform health
Develop dashboards and metrics to monitor model performance and service health
Communicate findings and recommendations to technical and business stakeholders through clear, actionable insights
Collaborate with cross-functional teams to ensure data quality and effective use of analytics in decision-making

Fulltime

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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