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

Data Scientist

Barclays is seeking a highly skilled and experienced Data Scientist, AVP, to sup...

Location

United States , New York

Salary:

125000.00 - 175000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Coding in Python, PySpark, R, SQL or other scripting languages
Understanding of Machine learning and Math statistical modelling
Considerable academic background in a quantitative/empirical field (math, statistics, economics, computer science, physics, chemistry, etc)

Job Responsibility

Support advanced analytics, develop predictive models, and drive data-driven decision-making across the organization
Design, develop, and deploy machine learning and statistical models to solve highly detailed business problems
Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes
Evaluate model performance and continuously improve model accuracy and scalability
Mentor junior team members and partner with business stakeholders to translate data insights into actionable strategies

Fulltime

Data Scientist

We are looking for a Data Scientist to join our team and help design, develop, a...

Location

Serbia , Novi Beograd

Salary:

Not provided

MDPI

Expiration Date

Until further notice

Requirements

Bachelor’s degree/ Master's degree in Computer Science or related
2-5 years of experience as a Data Scientist
2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs
Strong background in data science, statistics, and analytical problem-solving
Intermediate proficiency in FastAPI, Celery, and Keycloak
Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face
Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER)
In-depth understanding of Artificial Intelligence principles
Strong working knowledge of Microsoft O365 tools
Excellent written and spoken English

Job Responsibility

Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions
Translate business problems into data-driven approaches and scalable analytical solutions
Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling
Develop, optimize, and benchmark models using appropriate metrics and validation strategies
Build and experiment with LLM-powered systems, including agentic workflows and RAG
Investigate, reproduce, and compare research prototypes and state-of-the-art methods
Collaborate with engineering teams to support the integration of models into production
Monitor and analyze model performance and iterate to improve accuracy and robustness
Supervising Master/ Ph.D. students when there are trainees in the team
Representing the company in e.g. attending conferences, writing scientific articles

Fulltime

Data Scientist

Join us as a "Data Scientist" at Barclays, where you'll build analytical tools t...

Location

India , Gurugram

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Is It IC OR People Manager role – IC role
Educational Qualification – Graduation as a minimum
Bachelor or masters degree in data science (or similar) or equivalent commercial experience
Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment
Ability to translate technical work into business terms and communicate value to business stakeholders
Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques)
Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must
Familiarity with AWS data science and AI services, including SageMaker and Bedrock
Understanding of GenAI, LLMs and the RAG framework
Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools

Job Responsibility

Build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products
Work with technical teams, architects, designers, and administrators to overcome technical challenges
Take ownership of key initiatives to deliver results through an agile workflow
Design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance
Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI
Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank
Leverage AWS services for data transformation, feature engineering, AI product development and deployment
Communicate complex technical ideas to stakeholders via data visualisation
Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects

What we offer

Health and wellness
Gain access to wellness rooms, gyms and mental health support
A place where you can belong
Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
Collaborative Areas
Modern spaces designed for teamwork and brainstorming
More than work
Be you. Be valued. Belong

Fulltime

Data Scientist

Amazon Quick Suite is an enterprise AI platform that transforms how organization...

Location

United States , Seattle; Santa Clara; New York

Salary:

136000.00 - 212800.00 USD / Year

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
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment

Job Responsibility

Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features
Leverage LLMs for synthetic data corpora generation
data evaluation and quality assessment using LLM-as-a-judge settings
Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases
Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance
Develop and refine annotation guidelines and quality frameworks for evaluation tasks
Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies
Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements
Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts
Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

Fulltime

Data Scientist

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!

Location

Japan , 東京23区

Salary:

7000000.00 - 12000000.00 JPY / Year

Randstad

Expiration Date

February 29, 2028

Requirements

MIN 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes
Able to communicate efficiently in both Japanese and English with technical and business stakeholders
Proficiency in quantitative methods and business analytics, with strong problem-solving skills
Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction
Competent in programming with tools like Python and SQL
Strong understanding of data visualization tools, especially PowerBI
Experience with CI/CD, MLOps, and cloud platforms like Azure for deploying analytics and ML solutions
Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML
Background in financial or insurance domain, particularly in operations and marketing

Job Responsibility

WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

Data Scientist

Freewheel is currently looking to recruit a Data Scientist to join our Audience ...

Location

United States , New York

Salary:

100254.59 - 150381.88 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Machine Learning (ML)
Data Visualization
Applied Machine Learning
Structured Query Language (SQL)
Data Science
Analytical Thinking
Python (Programming Language)
Bachelor's Degree
0-2 Years of relevant work experience

Job Responsibility

Collaborating with cross-functional teams to define data analysis problems and design experiments
Engineering software solutions and algorithms for data cleansing, integration, and analysis
Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
Implementing statistical and mathematical models to address complex business challenges
Constructing data mining frameworks and conducting trend analysis for strategic decision-making
Analyzing complex datasets to identify historical patterns in customer and product behaviors
Building predictive models to forecast customer actions and guide business planning
Synthesizing findings from data science research to inform and optimize business processes
Presenting data-driven insights and recommendations through clear, comprehensive deliverables
Consistent exercise of independent judgment and discretion in matters of significance

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support
Bonus

Fulltime

Data Scientist

Drive innovation in machine learning and AI, from research to deployment, creati...

Location

Switzerland , Basel

Salary:

Not provided

MDPI

Expiration Date

Until further notice

Requirements

Bachelor's degree/ Master's degree in Computer Science or related
2-5 years of experience as a Data Scientist
2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs
Strong background in data science, statistics, and analytical problem-solving
Intermediate proficiency in FastAPI, Celery, and Keycloak
Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face
Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER)
In-depth understanding of Artificial Intelligence principles
Strong working knowledge of Microsoft O365 tools
Excellent written and spoken English

Job Responsibility

Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions
Translate business problems into data-driven approaches and scalable analytical solutions
Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling
Develop, optimize, and benchmark models using appropriate metrics and validation strategies
Build and experiment with LLM-powered systems, including agentic workflows and RAG
Investigate, reproduce, and compare research prototypes and state-of-the-art methods
Collaborate with engineering teams to support the integration of models into production
Monitor and analyze model performance and iterate to improve accuracy and robustness
Supervising Master/ Ph.D. students when there are trainees in the team
Representing the company in e.g. attending conferences, writing scientific articles

What we offer

The opportunity to contribute to the academic/scientific community
Flexible working hours
Team bond strengthening through team-building events
Professional growth opportunities with our global training system
Working in a collaborative and socially responsible team
Company retreat facility
Full-coverage insurance for accidents/daily sickness
Prime location near Basel train station and city center

Fulltime

Data Scientist

We are currently seeking a Data Scientist to join our team in Pune, Mahārāshtra ...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Technical Proficiency: Strong coding skills in languages like Python, and SQL
experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Statistical Expertise: Deep understanding of statistical modeling, probability, and advanced mathematical concepts
Domain Knowledge: Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking
Soft Skills: Excellent technical writing and stakeholder communication
the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams
Experience: Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis

Job Responsibility

Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks
Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards)
Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates
Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations
Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review

Fulltime

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