Data Scientist

Job Description

Job Description:

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Must have skills - Data Scientist with:

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• Excellent storytelling & communication: Experience working with both business users and technical audience. Able to translate complex concepts in ways easy to understand.

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• Expert Python is the most key technical skill.

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• Machine Learning (ML) models, and LLMs.

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• Visualization (Examples: Plotly or any other).

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• Worked with large data sets, statistical methods, models in production.

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• AWS exposure.

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• Statistics.

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• Advanced SQL.

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Nice to have:

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• Super beneficial/nice to have: GenAI, Graph DBs or algorithms.

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• Financial / regulated industries.

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Job Description/ Details:

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• We are seeking an experienced Senior Data Scientist to join our team and drive impactful data-driven insights that inform strategic business decisions.

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• This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to collaborate effectively across technical and non-technical stakeholders.

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Key Responsibilities:

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• Design, develop, and deploy machine learning models to solve complex business problems.

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• Explore and implement generative AI solutions to enhance analytical capabilities and business processes.

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• Create advanced, interactive visualizations and dashboards to communicate insights to diverse audiences.

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• Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.

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• Conduct rigorous statistical analyses to validate findings and ensure data integrity.

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• Lead stakeholder engagement, presenting complex technical concepts in accessible ways.

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• Mentor junior team members and contribute to the growth of the data science practice.

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• Deploy and maintain models in cloud-based environments.

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• Drive end-to-end project delivery from problem definition through implementation.

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Required Qualifications:

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• Python Proficiency: Expert-level skills in Python for data analysis, modeling, and automation (required).

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• Data Manipulation & Processing: Strong proficiency in pandas for data analysis and PySpark for large-scale distributed data processing.

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• SQL: Advanced SQL skills for data extraction, transformation, and analysis across various database systems.

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• Statistics: Strong foundation in statistical methods, experimental design, and hypothesis testing (required).

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• Machine Learning: Hands-on experience building, training, and deploying ML models in production environments.

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• Advanced Visualization: Proficiency with Plotly and Plotly Dash for creating interactive, production-grade visualizations.

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• Cloud Technologies: Experience with cloud platforms (AWS, Azure, or GCP) for data processing and model deployment.

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• Communication Skills: Exceptional ability to communicate technical findings to both technical and non-technical audiences.

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• Stakeholder Management: Proven track record of managing stakeholder relationships and driving alignment.

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• Education: Bachelor's degree in data science, statistics, computer science, mathematics, engineering, or related quantitative field; advanced degree (master’s or PhD) preferred.

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Preferred Qualifications

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• Generative AI: Experience with Large Language Models (LLMs), prompt engineering, and GenAI applications.

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• Experience with graph databases and graph analytics.

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• Knowledge of network analysis and graph-based algorithms.

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• Experience in financial services or regulated industries.

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• Familiarity with MLOps and model monitoring best practices.

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#LI-CGTS

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#TS-3142