Looking for Data Scientist
Exp Level: 5+ Years
Location: Hyderabad
Mode of Work: Hybrid
Shift: Ready to work in 2nd or 3rd Shift
N.P: Immediate to 30 Days (Max)
Position Summary:
- Design and develop new ML algorithms to support regular and ad-hoc business requests
- Work on developing analytical models to support strategic management decision making, provide meaningful insight and feedback
- Maintain and enhance existing forecasting models; build new models to incorporate user feedback and google analytics data
- Work on ad-hoc analysis and handle data requests from business stakeholders
- Provide support for existing analytical processes and meet stakeholders service expectations
- Develop and maintain good documentation of code and processes. Assist in writing user manuals, as needed
- Prepare commentary around findings and implications of analysis
- Bridge operational analytics to financial impacts, participate in project-based initiatives and perform other duties as assigned
Technical Expertise:
- Proficiency in programming languages such as Python, R, and SQL for data manipulation and model development.
- Strong understanding of machine learning algorithms, including recommender systems, forecasting models, and predictive analytics.
- Experience with data visualization tools (e.g. Power BI or similar) for presenting insights.
- Familiarity with cloud platforms and ML Ops practices for deploying and maintaining models in production.
- Familiarity with Code Management and Version Control (Git, ADO, etc)
Analytical & Statistical Skills
- Expertise in statistical modeling, hypothesis testing, and experimental design.
- Ability to work with large datasets, perform data cleaning, and ensure data quality.
- Experience with digital analytics tools (e.g., Google Analytics) and customer behavior analysis.
Business & Communication Skills
- Strong ability to translate complex analytical findings into actionable business insights.
- Excellent written and verbal communication skills for preparing commentary and documentation.
- Collaborative mindset to work effectively with cross-functional teams (ML Ops, IT, Reporting).
Preferred Skills
- Experience in pricing optimization, inventory management, and marketing analytics.
- Familiarity with real-time recommendation systems and personalization strategies.
- Experience with Databricks asset bundles and ADO pipelines
- Knowledge of API development and integration for real-time model consumption.
Education
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field required.
- Master's degree or higher in a quantitative discipline preferred.
Experience
- 5+ years of experience in data science, machine learning, or advanced analytics roles.
- Hands-on experience with model development, deployment, and maintenance in production environments.
- Prior experience in digital analytics, customer experience optimization, or business performance modeling is a plus.
- Ability to work on US time zone is required.
