Senior Data Scientist

Key Responsibilities

Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets. Extract data into presentable reports, charts, and graphs. Analyze and interpret data to find outliers, understand root cause, business impact, correlations/discrepancies, and propose changes/alternate solutions. Discover patterns/root causes, and generate insights to drive product enhancements
Machine Learning: Develop, implement, and optimize machine learning models to support various business initiatives. Analyze and evaluate the quality of data used for model training and testing. Create and present proposals and results in an intuitive, data-backed manner, along with actionable insights and recommendations to drive business decisions
Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and high-quality outcomes.
Collaboration: Work closely with product managers, engineers, and other stakeholders to understand business needs and align data solutions accordingly.
Mentorship: Mentor and guide junior data scientists and analysts, fostering a collaborative and growth-oriented environment.
Data Infrastructure: Contribute to the development and maintenance of data pipelines, ensuring data accuracy and accessibility.
Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences.

Qualifications

Education: Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field.
Experience: Minimum of 5 years of experience in data science or a related field.
Expert in AWS AI/ML, GenAI tools e.g. SageMaker, Bedrock etc.
Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).
Experienced in Identity and Access management, data protection, data privacy standards
Experienced in building model/tooling around continuous auditing
Analytical Skills: Strong analytical and problem-solving skills, with a keen attention to detail.
Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex concepts to diverse audiences.
Team Player: Ability to work effectively in a team environment and independentaly.

Preferred Qualifications

Experience in the industry relevant to the company's domain (e.g., finance, healthcare, e-commerce).
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
Experience with big data technologies (e.g., Hadoop, Spark).
Published research or contributions to open-source projects.