Considine Search

About the Company

Considine Search is a boutique legal recruitment firm with a select number of clients in AmLaw250, in-house legal teams for small startups and PE firms, and Fortune 500 companies. We are dedicated to providing a personalized experience you can trust. We help you accomplish your unique career goals. We are passionate about building bridges in our professional community, which is why we prioritize long-term relationships with our select group of clients. We take the stress out of searching so you can continue in your professional and personal growth.

Listed Jobs

Company Name

Considine Search

Job Title

Data Scientist

Job Description

Job title: Data Scientist Role Summary: Leverage advanced analytics and machine learning to transform complex data sets into actionable insights, supporting scalable business decisions across product and engineering domains. Expectations: Deliver production‑ready predictive models, collaborate closely with engineering teams, communicate findings clearly to non‑technical stakeholders, and continuously improve data quality and model performance. Key Responsibilities: - Clean, validate, and structure raw data for downstream consumption. - Design, implement, and optimize scalable predictive algorithms (regression, classification, clustering). - Work with engineering to deploy analytical prototypes into production environments. - Translate model outputs into strategic insights for business improvement. - Maintain and update documentation of data pipelines, model assumptions, and performance metrics. Required Skills: - Proficiency in Python, SQL, and at least one additional programming language (Java, C/C++). - Deep knowledge of machine‑learning algorithms, statistical modeling, and evaluation metrics. - Experience with big‑data frameworks (Hadoop, Spark, Cassandra) and visualization tools (Tableau, similar). - Strong problem‑solving, critical thinking, and communication skills. Required Education & Certifications: - Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or equivalent quantitative experience. - 1–2 years of applied data analytics or quantitative modeling experience. - Certifications such as Certified Analytics Professional (CAP) or equivalent are a plus.

Atlanta, United states

Hybrid

Fresher

26-11-2025