Role
Company
What will you do:
- Hypothesis testing, insights generation, root cause analysis, factor analysis
- Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms
- Test/train the model, Improve Model accuracy, Monitor model performance
- Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data aggregation, transformation), performing EDA
What makes you a great fit:
- Team Management
- High sense of ownership
- Ability to work in a fast-paced and deadline-driven environment
- Highly skilled at Data Interpretation
- Problem solver
- Good exposure to machine learning concepts and algorithms
- Must be fluent with any one of Python, R, Java
- Strong in statistical & machine learning concepts
- Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn
- Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)
Sigmoid is a leading data engineering services and AI consulting company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals. Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others.
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