Data Scientist with Data Bricks Lakehouse contract C2C requirements

Tech Mirrors; Indianapolis (IN); On-site; USD 90,000 - 120,000; Full time

Job summary

Tech Mirrors is seeking an experienced Data Scientist in Indianapolis, IN, to design and deploy data science solutions using Databricks Lakehouse. This role demands strong skills in machine learning and analytics, working collaboratively with product owners and engineers.

The ideal candidate should have 4+ years of experience and a solid understanding of SQL, Python, and advanced analytics tools. Responsibilities include deploying ML models and ensuring data quality in a Lakehouse architecture.

Qualifications

• 4+ years of experience in data science or advanced analytics.
• Hands-on experience with Databricks and Apache Spark.
• Experience building and deploying ML models in production.

Responsibilities

• Design, develop, and deploy machine learning models using Databricks.
• Collaborate with data engineers to ensure reliable datasets.
• Communicate complex analytical results in a clear manner.

Skills

Databricks

Machine Learning (ML)

Python

Data Analysis

SQL

Education

Bachelor’s or master’s degree in data science, Computer Science, Statistics, or Engineering

Tools

Databricks Genie

Apache Spark

MLflow

Job description

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.

Key Responsibilities

Data Science & Machine Learning

• Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
• Implement end-to-end ML pipelines (data ingestion→training→deployment→monitoring).
• Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.

Databricks & Lakehouse Architecture

• Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
• Optimize Spark jobs for performance and cost efficiency.
• Apply best practices for data governance, lineage, and security.

Genie (AI/BI & Natural Language Analytics)

• Configure and enable Databricks Genie for self-service analytics.
• Design semantic layers and curated datasets optimized for natural language queries.
• Partner with business stakeholders to translate questions into Genie-enabled insights.

Business Enablement & Collaboration

• Work closely with product owners, analysts, and business leaders to identify high-value use cases.
• Communicate complex analytical results in a clear, business-friendly manner.

Required Qualifications

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.
• 4+ years of experience in data science or advanced analytics.
• Hands‑on experience with Databricks and Apache Spark.
• Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
• Experience building and deploying ML models in production.
• Solid understanding of SQL and data modeling.
• Experience with MLflow, model lifecycle management, and experimentation.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.