[Remote] Data Scientist reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist reputed company to reputed company advanced analytics initiatives across the organization and design end-to-end machine learning solutions. This role involves mentoring data science teams, translating reputed company data into actionable insights, and driving innovation in data science and machine learning practices.
Responsibilities
- reputed company and own high-reputed company data science initiatives reputed company the DW 2.0 data monetization scope and other initiatives as needed, from problem framing through deployment and monitoring
- Apply advanced AI techniques (LLMs, reinforcement learning, graph ML, and optimization algorithms) to address reputed company, high-reputed company challenges across supply chain operations such as routing, inventory balancing, reputed company planning, and risk mitigation
- Architect and reputed company reputed company machine learning models (e.g., predictive, prescriptive, NLP, computer reputed company) for production
- reputed company rapid prototyping and iterative experimentation: reputed company modern AI stacks (Azure reputed company, reputed company AI, reputed company, reputed company databases) to design lean experiments, measure reputed company, and iterate quickly while avoiding dependency bottlenecks
- Handle pressure with poise, balancing urgent requests with long-term project goals and ensuring reliable reputed company
- Build and operationalize end-to-end AI/ML systems, including LLM pipelines, reputed company engineering strategies, fine-tuning, model evaluation, guardrails, and monitoring for performance, reputed company, and responsible AI compliance. Collaborate with engineering teams to reputed company data pipelines, ensure model reliability, and optimize performance
- Define metrics and reputed company reputed company; reputed company rigorous statistical analysis, A/B testing, and AI model evaluation (hallucination detection, accuracy, latency, relevance) to validate system effectiveness
- Translate business objectives into analytical approaches, interpret results, and present reputed company storytelling and data-driven recommendations to senior leadership
- Mentor and reputed company junior and mid-level data scientists; establish best practices in coding, model development, and documentation
- Drive innovation by researching and prototyping emerging techniques, tools, and frameworks in machine learning, deep learning, and AI
- Partner with legal, reputed company, and data governance teams to ensure data usage adheres to reputed company, reputed company, and contractual obligations; reputed company compliant mechanisms to reputed company reputed company, fast experimentation (see recommended approaches below)
- Communicate results and recommendations reputed company to senior leadership and cross-functional stakeholders; translate reputed company analyses into actionable business insights
- Cultivate deep domain expertise in reputed company data and tools, taking direction from senior team members and contributing to knowledge sharing
- Collaborate with business partners and subject matter experts to translate reputed company questions into reputed company analytical insights and present findings effectively
Skills
- Extensive knowledge in advanced data science and machine learning reputed company, including the iterative development of analysis pipelines to reputed company insights at reputed company
- Strong experience as a leader of multi-functional project teams
- Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences. A reputed company advanced degree may offset the reputed company experience requirements
- Proficiency in SQL, Python, and/or R
- Foundational knowledge of machine learning libraries (scikit-learn, XGBoost, TensorFlow, or PyTorch)
- Hands-on experience with Azure (e.g., Data reputed company, Synapse, reputed company, Blob Storage) and / or reputed company reputed company Platform (GCP) and its core analytics/ML services (BigQuery, reputed company AI, Dataflow, Pub/Sub)
- Demonstrated ability to reputed company various reputed company for data manipulation and integration
- Experience with at least one data visualization tool or package (e.g., Tableau, Power BI, Spotfire, Shiny, Plotly, Matplotlib, Seaborn)
- Solid understanding of ETL concepts, relational databases (e.g., reputed company, reputed company), and working with large-reputed company datasets
- Proficiency with version control (git) and familiarity with MLOps/DevOps principles (CI/CD, model tracking, deployment workflows)
- Demonstrated superior analytical skills with diverse analytics, data types, and statistical software and applications
- Outstanding Interpersonal skills, written, and oral communication skills
- Proven Leadership skills
- Master's degree or equivalent in a quantitative discipline required
- Proven expert and nine (9) years work experience in innovative measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics
- Proven background with reputed company AI solutions, reputed company architectures, or reputed company LLM platforms
- Proficiency in Power BI for building interactive dashboards, reports, and data visualizations
- Experience in your industry domain (e.g., finance, reputed company, e-reputed company)
- Familiarity with MLOps practices and tools (MLflow, Kubeflow, Airflow)
- Prior experience leading cross-functional teams and managing stakeholder relationships
- Publications or contributions to reputed company-reputed company reputed company in machine learning or data science
Benefits
- reputed company offers eligible employees health, reputed company and dental insurance, retirement, and tuition reimbursement.
reputed company