Data Scientist

Data Scientist

The role focuses on solving machine learning problems in NLP for enterprise clients and improving product suites. Primary duties include delivering production-ready code, building SQL queries for metrics, and prototyping data pipelines.

Carefull - Data Scientist / AI Engineer

You will design, build, and deploy AI-driven detection features to identify financial fraud patterns and protect older adults. This involves managing data pipelines, optimizing system performance, and collaborating with cross-functional teams to solve complex user problems.

[8BE] Senior Data Scientist (Statistical Modeling)

Design and implement advanced Bayesian statistical models to support decision-making in pricing, segmentation, and demand forecasting. Collaborate with solution architects and engineering teams to integrate these models into production microservices and event-driven architectures.

Marketing Data Scientist

Sr Data Scientist - GCP

You will design, build, and deploy machine learning and optimization solutions to address complex business challenges within multidisciplinary product teams. Additionally, you will collaborate with engineers to deliver production-grade models while translating analytical findings into actionable recommendations for stakeholders.

[8BE] Data Scientist (AI + ML)

Design, validate, and productionize probabilistic models to support e-commerce decisioning under uncertainty. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.

Senior Data Scientist

The Senior Data Scientist will drive data science initiatives and develop models to solve complex business challenges, specifically focusing on cost prediction for a two-sided marketplace. They will collaborate with cross-functional teams to translate business needs into data-driven strategies and optimize existing algorithms for performance.

[8BE] Data Scientist (AI + ML)

Design, validate, and productionize probabilistic AI and statistical machine learning models for an e-commerce platform. Collaborate with backend engineering to integrate these models into a distributed microservices architecture.

Senior Data Scientist

Design, develop, and validate advanced time series forecasting models using Transformer-based architectures. Translate complex forecasting results into actionable business insights and marketing strategies.

Staff Data Scientist 25 applicants

You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.

[8BE] Data Scientist (AI + ML)

Design, validate, and productionize probabilistic models to support decision-making under uncertainty for an e-commerce platform. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.

Sr Data Scientist Lead

Lead the design, development, and delivery of end-to-end data science solutions while providing technical guidance to the team. Collaborate with business stakeholders and engineering teams to translate complex business challenges into scalable, data-driven machine learning models.

Data Scientist – SaaS Insurance Analytics Platform (LLM Fine-Tuning & Azure)

Develop and optimize large language models and RAG pipelines to extract insights from insurance data. Deploy and manage these models using containerized workflows within the Azure cloud ecosystem.

Senior Data Scientist

Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.

Machine Learning Engineer / Data Scientist (Semi-Senior – Senior) (Remote)

The role involves working on an intelligent matching project between doctors and pharmaceutical products, requiring technical evolution towards Generative AI and LLMs. Responsibilities include developing and maintaining data pipelines and applying classical Machine Learning techniques.