Data Scientist

About Infinitive Infinitive is a data & AI consultancy that enables global brands to deliver results through insights, innovation, and efficiency.

We possess deep industry and technology expertise to drive and sustain adoption of new capabilities.

We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine eight times, and has also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work.

Role Summary We are seeking a client-facing Data Scientist with strong experience in predictive modeling, ML solution design, and hands-on delivery within Databricks.

This role is ideal for someone who enjoys partnering directly with business stakeholders to define problems, develop analytical solutions, and communicate data-driven recommendations that influence decision-making.

You will work across multiple client engagements, shaping solution approaches, delivering high-quality analytics, and helping clients build long-term data science capability.

Key Responsibilities Client Delivery & Solution Design Partner with client stakeholders to understand business goals, identify analytical opportunities, and translate them into measurable use cases.

Lead the end-to-end development of predictive and machine learning models, from data assessment through deployment and performance monitoring.

Work within Databricks to develop scalable data pipelines, compute workflows, and collaborative ML workflows.

Technical Execution Conduct EDA, feature engineering, model selection, hyperparameter tuning, and statistical validation.

Implement models using Python, SQL, Spark, and modern ML frameworks.

Document analytical methodologies, assumptions, model performance, and business impact.

Consulting & Communication Present analytical findings and recommendations to client leadership in a clear, concise, and business-relevant manner.

Contribute to engagement planning, level of effort estimates, and solution scoping.

Collaborate with data engineers, architects, analysts, and client SMEs to ensure alignment and successful delivery.

Required Experience Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field (Master’s preferred). 3–6 years of experience delivering data science solutions in a professional services or consulting environment.

Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, PySpark MLlib).

Hands-on experience with Databricks for data processing, model development, and workflow orchestration.

Demonstrated success deploying predictive modeling solutions to solve real business problems.

Ability to explain complex analytical concepts to non-technical audiences.

Preferred Skills & Certifications Experience working in cloud environments (AWS, Azure, or GCP).

Experience using MLflow, Databricks Model Registry, or similar MLOps tooling.

Familiarity with Delta Lake and lakehouse architecture best practices.

Databricks Certifications such as :

• Databricks Certified Data Engineer Associate / Professional Databricks Certified Machine Learning Professional Consulting Competencies Comfortable presenting to senior client stakeholders.
• Ability to lead small workstreams with limited oversight.
• Strong prioritization, time management, and engagement communication skills.
• Ability to operate effectively in fast-changing or ambiguous environments.
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