Applied Scientist, Data Science Job at Prior Labs

Applied Scientist - B2B Data Science and Algorithms

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...

Location

Germany , Berlin

Salary:

Not provided

Zalando

Expiration Date

Until further notice

Requirements

Educational background in a quantitative field - Masters degree or higher preferred
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems
Industry demonstrated knowledge and skills in at least one the following areas: Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts,...)
Machine Learning Engineering (e.g. service design, batch processing, GPU computing, git, docker, CI/CD, software testing)
Operations Research and Optimization, (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations, …)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and experience working with large-scale datasets
Strong communication skills with the ability to explain complex scientific concepts to product managers and business stakeholders
A collaborative, product-oriented mindset and a desire to see your work create real-world impact
An entrepreneurial mindset, you value a diverse and fast-paced business environment, and hence balance your passion for research with pragmatism to drive actions and create impact for our customers

Job Responsibility

Build innovative and impactful ML/Optimization systems for our B2B logistics partners
Build various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services and emerging Agentic AI systems that generate key insights for our partners
Enable partners to make data-driven decisions about their article assortment and inventory
Play a key role in a cross-functional team
Shape the Product from Day One as a core scientific partner
Solve high-stakes, complex scientific problems in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems
Pioneer Agentic AI and design/implement rigorous Agentic AI evaluation frameworks/metrics
Have end-to-end ownership from research to production
Drive impact at a multi-merchant scale

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Applied Scientist (all genders) - B2B Data Science and Algorithms

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Educational background in a quantitative field - Masters degree or higher preferred
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems
Industry demonstrated knowledge and skills in at least one the following areas: Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts,...)
Machine Learning Engineering (e.g. service design, batch processing, GPU computing, git, docker, CI/CD, software testing)
Operations Research and Optimization, (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations, …)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and experience working with large-scale datasets
Strong communication skills with the ability to explain complex scientific concepts to product managers and business stakeholders
A collaborative, product-oriented mindset and a desire to see your work create real-world impact
An entrepreneurial mindset, you value a diverse and fast-paced business environment, and hence balance your passion for research with pragmatism to drive actions and create impact for our customers

Job Responsibility

Building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services and emerging Agentic AI systems that generate these key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory
Shape the Product from Day One: You won't be a 'model factory' stuck in a silo! You will be a core scientific partner, working directly with product and user research to define the problem, not just solve it
Solve High-Stakes, Complex Scientific Problems: You'll be tackling cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting (including returns and lead-times), and building recommender systems for assortment planning
Pioneer Agentic AI & Robust Evaluations: You will contribute to defining how we measure their performance/success in the user’s agentic journey
End-to-End Ownership: You will have the autonomy to see your ideas through from initial research and prototyping all the way to production
Drive Impact at a multi-merchant scale: You will be building platform-level services that scale across hundreds of diverse partners/merchants

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Senior Applied Scientist / Principal Applied Scientist

We are hiring multiple Senior Applied Scientists and Principal Applied Scientist...

Location

Costa Rica , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field
OR equivalent experience in lieu of academic degrees
At least 5 years of experience in predictive analytics, statistics, or research
Experience with synthetic data generation and data management for evaluation/training
At least one year of experience publishing patents or peer-reviewed papers
Proficiency in English and cross-functional collaboration
Deep motivation for user-centric AI and interest in human cognition, memory, and AI

Job Responsibility

Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models
Write production-quality code, apply debugging best practices, and stay current with industry trends
Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Shape product direction by integrating rigorous scientific methods into the product lifecycle
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
Strong applied statistics skills for: Risk modeling
Predictive analytics
Pricing & underwriting analytics
Catastrophe exposure analysis
Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
Time-series forecasting
Gradient boosting, random forests, and other tree-based models, neural networks models

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Atlanta, GA/Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
Advanced knowledge of probability theory, statistics, and machine learning methods is required
Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
Strong written and verbal communication skills
Strong programming skills in Python (preferred), R, and SQL
Experience and understanding of relational and non-relational databases preferred
Comfort working within git-based version-control environments

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Senior Applied Scientist and Principal Applied Scientist

The Core AI Speech Group brings together talents in the areas of signal processi...

Location

United States , Redmond

Salary:

119800.00 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 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate 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 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

Developing novel speech algorithms to advance state-of-the-art speech technologies for real world user scenarios, especially in integrating speech with LLM for multimodal modeling
Helps address scalability problems by adjusting to stakeholder needs
Works with large-scale computing frameworks, data analysis systems, and modeling environments to improve models
Applies the model to real products, and then verifies effects through iterations
Experiments by putting multiple models in production and evaluating their performance. Continues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails

Fulltime

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 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 4+ 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 3+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
OR Master's Degree AND 4+ years related experience
OR Doctorate AND 3+ years related experience
OR equivalent experience

Job Responsibility

Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms

Fulltime

Applied Scientist II and Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. ...

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
2+ years experience delivering, scaling, and maintaining highly successful and innovative machine learning products
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
Experience with Large Language Models: Demonstrated experience working with LLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities
Understanding of NLP: In-depth knowledge of natural language processing (NLP) techniques and concepts, including tokenization, semantic analysis, and text generation
Understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras, etc.)
Algorithmic and analytical background and understanding on how to apply advanced knowledge to solve real problems
Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE

Job Responsibility

Building and maintaining production machine learning models for ad retrieval, quality prediction and creative generation
Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization, p-values analysis
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
Craft and Optimize Prompts for Effective LLM Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, R, C#, C++, Java, and SQL
Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decision

Fulltime

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