Data Scientist – Traditional and Generative AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, validate, deploy, and oversee machine learning and generative AI models to provide actionable and scalable insights and solutions.

• Design and implement generative AI solutions utilizing LLMs, prompt engineering, RAG pipelines, and fine-tuning strategies.

• Analyze intricate datasets by conducting data preparation, transformations, exploratory analysis, and feature engineering to identify trends, patterns, and actionable insights that bolster advanced analytics and model development.

• Create and execute comprehensive data and ML pipelines (including model training, evaluation, deployment, and monitoring within production environments), while collaborating with data engineering to continually improve and maintain MLOps tools and processes.

• Monitor and assess model performance using both quantitative metrics and human feedback loops.

• Work alongside business stakeholders to convert business requirements into AI-driven solutions.

• Develop and present clear visualizations, dashboards, and reports that effectively convey insights and enhance business understanding and optimization.

• Ensure compliance with data quality, model and data governance standards, and responsible AI practices, including bias mitigation, security, and privacy.

• Contribute to AI education, knowledge sharing, and innovation, keeping abreast of emerging trends and translating them into practical applications.

⛳️ Requirements

• A Bachelor's degree is mandatory; a Master's degree is preferred.

• A minimum of 2 years of relevant experience or an equivalent combination of education and related experience is required.

• Extensive knowledge of contemporary data science techniques, including supervised and unsupervised methods, reinforcement learning, neural networks, clustering algorithms, natural language processing, Bayesian analysis, and experimental design frameworks, with significant experience in several of the mentioned areas.

• Practical experience with generative AI technologies (e.g., LLMs, transformers, or similar frameworks).

• Broad understanding of current data science tools with expert-level proficiency in Python and the Python data science stack.

• Competence in general database concepts and SQL.

• Experience with cloud-based MLOps frameworks, preferably Databricks and Dataiku.

• Familiarity with complex, automated analytics workflows and MLOps principles related to model governance and production model monitoring.

• Strong verbal and written communication skills, with the ability to convey analytical insights and complex findings clearly and concisely.

• Experience with analytic outreach and promotion, while balancing competing business and analytical objectives.

• Background working in an Agile environment.

🏝️ Benefits

• Medical, Dental, and Vision plans.

• Health Spending Accounts & Flexible Spending Accounts.

• PTO: Starting at 19 days per year; varies based on job type and tenure.

• Holidays: 11 paid holidays, consisting of six core holidays and five floating holidays.

• 401K with a match of up to 6%.

• Paid Family Leave.

• Employee Assistance Program.

• Disability and Insurance: Short + Long Term.

• Service Awards and recognition.