Specialist - Data Sciences

Key Skills

Apache Airflow, AWS Sagemaker, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Data Visualization, Databricks, Deep Learning, Github, PowerBI, Python Programming, Spark Core, SQL, Statistics, Tableau

Job Description

Data Science Engineer:

Required Skills –

5+ years of experience in Data Science

Excellent knowledge and expereince of Python and SQL

• Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively, while also concentrating on the technical solutions underlying them.
• Proficient in analyzing and modeling big data utilizing statistical, machine learning, and deep learning techniques.
• Expertise in transforming ambiguous questions into impactful experiments, analysis, or models.
• Familiarity with modeling requirements for Customer 360 and Customer Journey.
• Experience with Machine Learning platforms (AWS Sagemaker, Databricks), Data Pipelines (Spark, Airflow), CI/CD, GitHub, and visualization (Power BI/Tableau).
• Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable.

Job Responsibilities:

• Utilize machine learning and deep learning models to create consumer intelligence, such as Next Best Action, Behavior Models, and Churn, for customer-centric business teams.
• Write production level test driven code in Python and SQL
• Analyze large datasets to uncover insights that inform marketing and customer-centric investments.
• Plan and execute experimentation initiatives, ensuring cross-functional alignment, robust analysis, and practical insights.
• Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualizations and presentations.
• Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment to fulfill modeling needs.

Preferred:

• Experience with deploying ML model in production.
• An advanced degree (MS or PhD)
• Hands-on experience with developing Machine Learning models for marketing campaigns.

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