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

Bachelors degree in Data Science Computer Science Statistics Mathematics Engineering or related field (Masters preferred).

36 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.

Required Experience :

Manager

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1