Data Scientist Job at Randstad (東京23区)

New

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

New

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

New

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

New

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

New

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

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

New

Data Scientist

We are looking for a highly motivated Data Analyst (m/f/d) with great communicat...

Location

Austria , Vienna

Salary:

Not provided

Sportradar

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Physics, Mathematics, Software Engineering or similar
Understanding of analytical processes, tools, methods
Advanced knowledge of SQL or other analytical languages
Good English communication skills (verbal and written)
Strong consumer focus, ownership, urgency, and drive
Analytically thinking/Problem Solver

Job Responsibility

Interpreting data to inform decisions and tell accurate stories to our advertisers/stakeholders
Evaluating existing data sources and related products on a regular basis, performing QA and health checks to ensure data integrity
Evaluation, Evolution & Implementation from concept to delivery using Machine Learning & AI to deliver projects which generate value to our end clients
Collaborating with sales, tech and product teams to design, implement and refine state-of-the-art digital dashboards
Helping Build & Scale the end-to-end process for Data Ingestion all the way through to end client reporting
Have a get it done attitude and deliver superb work repeatedly

Fulltime

New

Data Scientist

You will join a team of data scientists developing the next generation of Genius...

Location

United Kingdom , London

Salary:

Not provided

Genius Sports

Expiration Date

Until further notice

Requirements

A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
A strong understanding of probability and statistics fundamentals
Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.)
Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You contribute effectively to conversations that drive alignment and uncover edge cases others might miss.

Job Responsibility

Develop and implement predictive models across all major sporting codes
Prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes

Fulltime

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