Probabilistic modeling jobs

Principal Core Infrastructure Engineer

Oracle · Posted Oct 27, 2026

Open

Austin, Texas, United States
Principal
$115K–$235K per year
6–10 years

Principal Core Infrastructure Engineer

Oracle · Posted Oct 27, 2026

Open

Austin, Texas, United States
Principal
$115K–$235K per year
6–10 years

Sr Data Scientist

Weekday AI · Posted Nov 6, 2026

Open

Hyderabad, Telangana, India +1 more
Senior
₹6M–₹28M per year
2+ years

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As a Sr Data Scientist, you will spearhead advanced analytical initiatives that fuse Operations Research, Natural Language Processing, and Deep Learning to unlock actionable insights and drive decision‑making across multiple domains.

Locations (2)

Hyderabad, Telangana, India
Bengaluru, Karnataka, India

Compensation

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟲-𝟮𝟬 𝗟𝗣𝗔)

Responsibilities

Develop and deploy scalable operations research models for resource allocation and logistics optimization.
Engineer end‑to‑end NLP pipelines for text mining, sentiment analysis, and unstructured data transformation.
Design, train, and fine‑tune deep learning architectures (CNN, RNN, Transformer) for vision and language tasks.
Write efficient, maintainable Python code and complex SQL queries to support data extraction and analysis.
Conduct rigorous statistical analysis and probabilistic modeling to quantify uncertainty and risk.

Lead Strategic Finance & Analytics Engineer

Klaviyo · Posted Nov 6, 2026

Open

Boston, Massachusetts, United States
Senior
$148K–$222K per year
8+ years

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Lead the design, development, and maintenance of forecasting models for recognized revenue and cost of goods sold, integrating data science, finance, and engineering practices.

Compensation

Base Pay Range For US Locations: $148,000—$222,000 USD

Responsibilities

Build and maintain forecasting models for recognized revenue and COGS
Link product usage drivers to revenue and cost metrics
Scale forecasting systems across multiple horizons
Partner with Finance, FP&A, Product, Engineering, and Data Science teams
Monitor model performance and conduct variance investigations

Requirements

Bachelor's or advanced degree in Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, or related quantitative field
Nice to have: LLMs
Nice to have: agentic AI
Nice to have: self‑service dashboards
Nice to have: forecast evaluation frameworks

Skills

SQL Python R dbt cloud data platforms

Senior Commercial Data Science Manager

GSK · Posted Nov 5, 2026

Open

Philadelphia, Pennsylvania, United States
Senior
5+ years

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Lead a team of data scientists and engineers to develop analytics and AI/ML solutions for GSK’s US commercial oncology business.

Responsibilities

Manage a team of 2-4 data scientists and engineers
Develop and deliver high quality analytics and insights using AI/ML and statistical models for the US commercial oncology business
Develop, deploy, maintain and monitor data analytics automation in enterprise data platforms with CI/CD
Work with commercial business reporting owners to develop agent-based AI tools for analytics automation and visualization
Understand data science opportunities to deliver innovative solutions for patient and HCP insights

Requirements

Master's or PhD in statistics, mathematics, engineering or related analytical field

Skills

SQL Python PySpark Databricks Snowflake Statistical modeling Machine learning

Sr Manager Strategic Capacity Management

Johnson & Johnson Innovative Medicine · Posted Nov 5, 2026

Open

Jacksonville, Florida, United States
On-site
Full-time · Manager
8+ years

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Lead strategic capacity planning and analysis for Vision Care manufacturing network, developing long‑range capacity strategy, models, and recommendations.

Responsibilities

Lead strategic capacity planning across a 1-10 year horizon
Provide capacity, utilization, and supply risk analyses for IBP, Supply Review, and LRFP forums
Identify future capacity gaps and develop mitigation strategies
Build and maintain advanced analytical models, including Monte Carlo simulations, probabilistic forecasting, and scenario analysis
Develop recommendations supporting capital planning, new line additions, and manufacturing network strategy

Requirements

Bachelor's degree in Engineering, Supply Chain, Operations, Business, Finance, Data Analytics, or related field
Nice to have: Advanced Excel
Nice to have: Power BI
Nice to have: planning systems such as OMP, SAP IBP, Kinaxis
Nice to have: simulation modeling

Skills

supply chain manufacturing planning engineering analytics

Head of Catastrophe Modeling

Wildfire Defense Systems, Inc. · Posted Nov 5, 2026

Open

Remote, United States
Remote
Full-time · Director
7+ years

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The Head of Catastrophe Modeling leads Wildfire Defense Systems’ efforts to quantify wildfire risk and demonstrate the loss-reduction value of WDS’s services to insurance partners. This role translates WDS’s field and operational data into credible, model-driven insights that support carrier relationships, business growth, and operational decision-making.

Responsibilities

Design, develop, and maintain proprietary internal catastrophe models and contribute to risk and pricing modeling
Own the development, validation, and application of wildfire catastrophe models and analytics across WDS’s enrolled property portfolio in the United States and Canada
Serve as WDS’s subject matter expert on wildfire hazard, structure vulnerability, and loss estimation
Evaluate and work alongside industry-standard vendor models
Translate WDS’s field and operational data into credible, model-driven insights

Requirements

MS or PhD in Statistics, Actuarial Science, Mathematics, or Engineering
or a related quantitative field
Nice to have: Familiarity with functionality and I/O of major CAT vendors (Verisk, Cube, RMS)

Skills

Catastrophe modeling P&C insurance experience Risk management

Senior Full Stack AI Engineer

GSK · Posted Nov 5, 2026

Open

Bengaluru, Karnataka, India
Senior
15+ years

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Senior Full Stack AI Engineer in GSK’s Enterprise AI team, responsible for building and delivering AI prototypes and solutions directly embedded with business unit teams.

Responsibilities

Take ownership of high-priority BU use cases from problem framing to working prototype at days-to-weeks cadence
Ship first production versions directly for use cases where the path is clear
Operate AI agent workflows for autonomous prototype delivery
Use AI coding assistants as the default mode of building
Embed with BU teams, attend standups, understand domain, prototype against real data

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
Master’s degree/ Ph D in Mathematics, statistics, computer science or related field is advantageous
Nice to have: Prior experience as a Forward Deployed Engineer at an AI-native company
Nice to have: Experience as a Customer Engineer / Solutions Architect at a hyperscaler
Nice to have: Experience in regulated industries (pharma, healthcare, financial services)

Skills

Python TypeScript/JavaScript Go

AI Research Engineer - Chip Design

Apple · Posted Nov 3, 2026

Open

Haifa, Haifa District, Israel +1 more
On-site

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Research and build AI systems to improve Apple silicon chip design metrics.

Locations (2)

Haifa, Haifa District, Israel
Herzliya, Tel Aviv, Israel

Responsibilities

Research AI solutions for chip design
Collaborate with design teams to formulate research problems
Develop and evaluate deep learning models in Python
Apply generative AI and LLM-based workflows
Integrate AI models into EDA tool flows

Requirements

MSc in Computer Science, Electrical Engineering, Applied Mathematics, Physics or related quantitative field
PhD in AI, Computer Science, Electrical Engineering or related field
Nice to have: PhD in AI or related field
Nice to have: Publications at top-tier AI or EDA venues
Nice to have: Familiarity with chip design flows

Skills

AI Research Engineer - Chip Design

Apple · Posted Nov 3, 2026

Open

Haifa, Haifa District, Israel +1 more
On-site

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Research and build AI systems to improve Apple silicon chip design.

Locations (2)

Haifa, Haifa District, Israel
Herzliya, Tel Aviv, Israel

Responsibilities

Research AI solutions for chip design metrics
Collaborate with design teams to formulate research problems
Develop and evaluate deep learning models in Python
Build and assess generative AI applications and agentic workflows
Integrate AI models into EDA tool flows

Requirements

MSc with a research thesis
PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics or related field
Nice to have: PhD in AI or related field
Nice to have: Publications at top-tier AI or EDA venues
Nice to have: Familiarity with chip design flows

Skills

Python

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