Data Scientist - Time series and forecasting Job at Lingaro

Senior Data Scientist, Forecasting and Routing

Reporting to the Senior Manager of Data Science, the Senior Data Scientist I on ...

Location

United States , San Francisco

Salary:

183500.00 - 205550.00 USD / Year

Spring Health

Expiration Date

Until further notice

Requirements

4–6 years of professional experience in data science, machine learning, or a related quantitative field
Deep proficiency in Python and SQL, with proven ability to design and maintain production-grade codebases
Demonstrated expertise in time series forecasting, predictive modeling, and causal inference
Hands-on experience building and deploying ML models using AWS SageMaker, with strong understanding of MLOps, model monitoring, and lifecycle management
Familiarity with Snowflake, dbt, GitHub, scikit-learn, and MLflow
Strong understanding of experimental design, statistical inference, and uncertainty quantification
Ability to navigate ambiguous or incomplete data, formulate hypotheses, and deliver elegant, data-driven solutions
Excellent communication skills and ability to synthesize complex analyses into actionable recommendations for leadership
Demonstrated ownership of projects that delivered measurable operational or business impact
Passion for applying data science to real-world problems in mental healthcare

Job Responsibility

Lead the end-to-end design and delivery of high-impact data science projects — from problem framing and hypothesis generation through model development, validation, and deployment
Develop, implement, and maintain advanced forecasting and routing algorithms, ensuring robustness, scalability, and reproducibility
Define the technical direction for data science initiatives within the Forecasting & Routing domain, balancing long-term innovation with short-term impact
Partner with stakeholders across the business to translate ambiguous operational needs into clear research questions and data products that drive measurable results
Apply advanced statistical and ML techniques to complex forecasting and routing challenges
Champion MLOps best practices, including automated model monitoring, versioning, logging, and alerting in production environments
Collaborate closely with engineering to ensure models are deployed efficiently using tools like AWS SageMaker, dbt, and GitHub, with strong observability and CI/CD standards
Mentor junior data scientists, contribute to peer reviews, and help shape team standards for code quality, experimentation, and documentation
Communicate insights clearly to technical and non-technical audiences, influencing product and operational decisions through data-driven recommendations

What we offer

Health, Dental, Vision benefits start on your first day
HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs
Employer sponsored 401(k) match of up to 2%
A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
Competitive paid time off policies including vacation, sick leave and company holidays
At 6 months tenure, parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents
Access to Noom, a weight management program
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep
Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care

Fulltime

Manager, Data Scientist - Deposit Forecasting and Pricing

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Job Responsibility

Develop and support econometric time-series models for the balance sheet
Identify opportunities to apply quantitative methods to improve business performance
Demonstrate track record in behavior model development
Ability to clearly communicate models and methods to management, model risk office, regulators and other modelers
Develop and maintain high quality and transparent documentation

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Data Scientist – AI/ML (Time‑Series Focus)

We are seeking a Data Scientist with a strong AI/ML focus to support advanced an...

Location

United States , Houston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong background in time‑series modeling (non‑negotiable)
Proficiency in Python and common modeling techniques (e.g., linear regression, random forest, SVM)
Experience with anomaly detection and predictive analytics
Strong communication skills with the ability to explain technical concepts to business stakeholders
Proven ability to drive work independently from problem definition through model deployment

Job Responsibility

Analyze structured and unstructured business data to uncover trends and insights
Design, develop, and deploy time‑series forecasting and anomaly detection models
Perform feature engineering to improve model performance and reliability
Build and optimize machine learning and deep learning models using Python
Collaborate with stakeholders to translate analytical findings into actionable business recommendations
Develop dashboards, visualizations, and presentations to clearly communicate results to non‑technical audiences
Contribute to AI initiatives involving LLMs, NLP, deep learning, or multi‑agent systems as opportunities arise

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

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

Machine Learning Data Scientist, Forecasting

The Strategic Finance team at OpenAI plays a critical role in shaping the compan...

Location

United States , San Francisco

Salary:

230000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems
Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability
Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders
Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1

Job Responsibility

Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability
Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions
Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches
Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks
Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

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

Data Scientist, Business Analytics and Industrial Engineering

Software Resources has an immediate, contract job opportunity for a Data Scienti...

Location

United States , Orlando

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Must have proficiency with data mining, mathematics, machine learning, and statistical analysis
Must have experience and proficiency using machine learning platforms (e.g., AzureML), process automation platforms (e.g., MS Power Automate, etc.), application development platform (e.g., Power Apps, etc.), data querying and scripting/programming tools (e.g., SQL, Python, etc.), business intelligence/data visualization software tools (e.g., Power BI, Tableau, etc.), and statistical modeling software applications (e.g., R, etc.)
Proven strong PC skills including spreadsheets, databases, and presentation graphics software
Demonstrated leadership ability and/or previous managerial experience
Strong coaching/mentoring skills and Leadership experience in continuous improvement
Strong critical thinking and creative problem solving skills
Demonstrated superior conceptual thinking skills and the ability to work through complex problems
Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats
Strong communication skills with the ability to convey complex findings to both technical and non-technical stakeholders
Ability to work collaboratively in a team environment, work in a fast-paced environment and under changing conditions

Job Responsibility

Formulate and apply advanced analytical approaches, such as causal and time series forecasting modeling, econometric methods, machine learning modeling, mathematical optimization, for complex analyses, predictions and problem-solving
Perform data and error analysis to improve models
Assist in collecting, cleaning, and organizing data
Analyze large structured and unstructured datasets to identify trends, patterns, and insights
Identify causes of variability, test new features, and integrate into code
Use business intelligence tools to create and maintain clear and compelling reporting and visualizations to communicate complex findings to technical and non-technical stakeholders
Explore new, state-of-the-art analytical tools, methodologies, and technology that can be leveraged by our team
Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists
Develop analytical and predictive models and solutions for any and all operating divisions within Destinations & Experiences (UDX) to support key decisions

What we offer

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

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

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Data Scientist - Time series and forecasting

Job Responsibility

Requirements

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