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Builds predictive and prescriptive models (e.g., churn prediction, player lifetime value) using ML and statistical techniques to optimize casino gaming strategies, fraud detection, and player engagement. Works with behavioral data to drive promotions and ensure compliance.
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our…
Senior AI Engineer builds and maintains AI agents that automate complex supply chain decisions by querying industrial knowledge graphs, using tools like Cognite Flows and React/Python stacks.
Senior Data Scientist (PhD required) at Causal Foundry in Barcelona, building and validating predictive, causal, and decision-support models on the Kenkai AI platform using Python and SQL, while collaborating closely with engineering and partner teams on global health and supply-chain problems.
Senior Product Data Analyst at Amanotes analyzing behavioral data from 3B+ users to drive product optimization—conducting A/B tests, building dashboards, and delivering insights using SQL, Python, and R.
The Principal Data Scientist leads the data science team at Central Health, overseeing the development of predictive models for population health and clinical decision support. This role ensures scientific rigor and ethical AI governance while leveraging cloud platforms like Azure and Snowflake to drive actionable healthcare insights.
We are looking for a talented and enthusiastic engineer to lead the SRE and DevSecOps team in the Simulation, Integration and Test Department with a passion for launching hardware into space and a desire to…
Senior Software Engineer building and operating production cloud services for enterprise file data, using Go, Python, AWS, and Terraform in a hybrid role in Hyderabad.
Build and maintain data pipelines and dashboards for a quantitative trading firm using dbt, BigQuery, Prefect, and Looker to support trading, risk, and finance teams.
Builds and maintains infrastructure for capturing, processing, and versioning multimodal robotics data (video, sensors, telemetry) to ensure reproducibility and traceability for AI training/evaluation.
Lead the architecture and implementation of a knowledge-graph-centered data platform that unifies AI/ML workflows, storage, and compute for autonomy systems in defense and robotics.
IoT Data Engineer designing and supervising real-time data pipelines using MQTT, Kafka, and time-series databases (InfluxDB/TimescaleDB) in a cloud environment.
Build IoT data pipelines using Python, Kafka, MQTT, time-series databases (InfluxDB, TimescaleDB), and cloud platforms at a French IT services firm.
Designs and deploys AI-powered automation agents to streamline enterprise workflows using Python, SQL, and Microsoft Power Platform on Azure.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
This role leads a data science team at JPMorgan Chase to develop and deploy machine learning and AI solutions for consumer banking. The position requires hands-on technical leadership, stakeholder management, and expertise in big data technologies and statistical modeling.
This role is a hands-on product leadership position responsible for the AI/ML roadmap of the Operator Suite, a B2B platform for venue parking management. The candidate will define product strategy while acting as an individual contributor to prototype and evaluate predictive models, dynamic pricing, and LLM-based applications.
Build and deploy AI/ML models using healthcare datasets to optimize commercial strategies, patient targeting, and forecasting for a biopharma company.
The Customer Success Lead Data Scientist acts as a trusted advisor for energy sector clients, leveraging Spotfire and advanced analytics to drive product adoption and solve complex industry problems. The role involves developing analytical deliverables, building prototypes, and collaborating cross-functionally to ensure customer success.
Lead model validation analyst at Citi overseeing a portfolio of risk models (market, credit, operational), performing validations, annual reviews, and ongoing monitoring using SAS, Python, Excel, and statistical/econometric methods.
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