About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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The Role

Confidential Client is seeking a hands-on Data Scientist to join a consulting team delivering analytics and Agentic AI solutions to enterprise clients (major focus in financial services). This is a client-facing, execution-first role where you'll write production SQL and Python, help build and maintain analytical pipelines (Snowflake, Databricks), experiment with LLM and agent tooling, and contribute rigorous, documented analysis that drives decisions.

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What You’ll Do

• Write, test, and maintain data pipelines (SQL + Python) that ingest, transform, and validate data from internal and external sources.
• Evaluate, clean, and structure new datasets — assess quality, coverage, and fit for client questions.
• Develop models, scores, and analytical frameworks (segmentation, propensity, attribution, risk) that deliver decision-ready outputs.
• Design and validate data matching, deduplication, and reconciliation logic to improve accuracy across systems.
• Build and maintain recurring analytical processes and reporting frameworks focused on reliability and reproducibility.
• Prepare clear analysis summaries, visualizations, and documentation for client updates and internal knowledge sharing.
• Explore and apply LLMs, Agentic AI, and multi-agent frameworks to accelerate analysis and automate workflows.
• Participate in client meetings and translate technical results into actionable insights for non-technical stakeholders.

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What We’re Looking For

• 2–4 years of experience in data science, data analytics, or data engineering (internships and academic projects count).
• Proficiency in SQL and Python for data manipulation, analysis, and pipeline development.
• Familiarity with cloud data warehouses (Snowflake preferred) and/or modern data platforms (Databricks).
• Foundational understanding of statistics and applied ML methods (regression, classification, gradient-boosted trees).
• Working knowledge of the Python data/ML stack (Pandas, scikit-learn, PySpark).
• Strong attention to detail and curiosity about messy, real-world data (naming inconsistencies, missing values, non-standard formats).
• Results-oriented mindset — you frame work in terms of measurable impact (cost, revenue, accuracy, time saved).
• Clear written and verbal communication skills; comfort presenting to non-technical stakeholders.
• Collaborative, ownership-oriented mindset — you ask questions, follow through, and take feedback well.
• Bachelor's degree in a quantitative field or equivalent practical experience.

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Nice to Have

• Experience with large-scale/distributed processing (PySpark, Databricks) and performance-oriented pipeline design.
• Experience with entity resolution, record-matching, or data reconciliation techniques.
• Coursework or projects with applied ML frameworks (XGBoost, PyTorch) or modern data tooling (dbt, MLflow).
• Familiarity with cloud platforms (AWS, Databricks).
• Prior exposure to financial services, healthcare, or consumer analytics.
• Hands-on experimentation with LLMs, GenAI, or Agentic AI tooling (LangChain, LangGraph, multi-agent frameworks).
• Client-facing experience in a fast-paced, deadline-driven environment.

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Education & Experience

• Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, or related; advanced degree or MBA is a plus.
• 2+ years of relevant professional experience (or equivalent internships/projects).

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Compensation & Benefits

• Base salary: $80,000 – $100,000 per year (final offer reflects experience, skills, and scope).
• Performance bonus and benefits (medical, dental, retirement options — details provided by the client).
• Opportunity to work on cutting-edge AI and analytics projects for large enterprise clients and to build consulting-grade data science skills.

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Location & Employment Type

• Location: New York, NY (on-site / client-facing as required by engagements).
• Employment type: Full-time.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

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