About This Remote Job USA Opening

Our client is a leading provider of cloud-based SaaS software that helps energy, utility, telecom and infrastructure companies protect critical network infrastructure. With nearly three decades of experience, they serve customers across North America and keep adding data-driven and AI-powered capabilities.

They are launching a new project on a unified, governed Databricks Lakehouse to power cross-product insights and customer-facing data products, and they are hiring two Data Scientists for a new US-based team of Data Scientists and Data Engineers. It is a greenfield project with nothing to inherit. A near-term focus is AI-assisted ETL that maps customer data from unfamiliar source schemas into a standard target schema. Industry background is not required. This Data Scientist – Remote Job USA lets you learn the industry on the job from home.

Key Responsibilities

• Build ML and GenAI capabilities for the new platform, working primarily in Databricks.
• Develop AI-assisted ETL that maps unfamiliar customer source schemas to a standard target schema and automates data onboarding.
• Work with Data Engineers on data modeling, feature engineering and turning data into measurable customer value.
• Explore, prototype, evaluate and productionize ML and GenAI solutions, including forecasting, anomaly detection, NLP, RAG, LLM-powered assistants and predictive analytics.
• Contribute to medallion architecture pipelines (Bronze, Silver, Gold), including data quality checks and data contracts.
• Package and manage models with Unity Catalog, and design batch and streaming inference where appropriate.
• Move successful experiments to production with clear SLAs, monitoring, documentation and runbooks.
• Build workflows as code with Databricks Asset Bundles and CI/CD through GitHub Actions.
• Implement secure data and ML architectures, including RBAC/ABAC, PII masking and secrets management.
• Coordinate with counterparts on an international team based in India.

Requirements for This Work From Home Job

• 3-6 years in Data Science, Machine Learning or ML Engineering, with a track record of taking models into production.
• Hands-on Databricks experience: Delta Lake, Unity Catalog, Databricks SQL, Jobs and Workflows, medallion architecture and Lakehouse.
• Python and Spark/PySpark, plus strong SQL skills.
• Hands-on GenAI/LLM experience at any level: prompt engineering, RAG, vector stores, LLM evaluation and guardrails.
• Strong ML fundamentals: feature engineering, model training and evaluation, monitoring and drift detection.
• Some hands-on CI/CD experience for data or ML workloads.
• Git-based development (GitHub preferred; GitLab or Bitbucket also acceptable).
• Understanding of data security and compliance, including PII handling and access controls.
• Based in the United States, with availability to overlap with India working hours between 8:00 and 11:00 AM Eastern Time.
• Strong communication skills and the ability to write clear technical documentation.

Nice to Have

• Microsoft Azure (ADLS, Entra ID, Key Vault, Fabric, Power BI).
• Experience with schema mapping, entity matching or automated data onboarding.
• MLflow and Unity Catalog Model Serving.
• AWS (S3, KMS, Secrets Manager, RDS, DynamoDB).
• Geospatial data and analytics (PostGIS, spatial joins, GIS-based features).
• Streaming and real-time data (Structured Streaming, CDC).
• Experience in utilities, energy, infrastructure or related industries.

Work Details & Benefits

• Fully remote WFH job in the United States, Monday to Friday, standard business hours.
• Overlap with 8:00-11:00 AM Eastern Time. East Coast is ideal; West Coast works for early starters.
• Direct hire, full time, laptop provided.
• Compensation: $160,000 USD base salary plus a 5% bonus.
• Medical, dental and vision insurance.
• 401(k) plan with company match.
• Generous paid time off and company-paid holidays.
• Work-from-home opportunities are available, depending on role and business needs.

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