Location
Kolkatta | India
Job description
Urgent hiring for Senior Data Scientist for a leading B2B e-commerce platform
Experience: 7-9 Years
Location: Kolkata (WFO)
Qualification: Bachelor's degree in computer science, Data Science, Statistics, or related field
Notice Period: Immediate to max 30 days
Roles & Responsibilities - Use Case Identification: Collaborate with product managers and business stakeholders to identify and prioritize use cases that can benefit from data, AI, and ML techniques. These use cases may include personalized recommendations, demand forecasting, pricing optimization, fraud detection, and more.
- Data Exploration and Analysis: Collect and preprocess data from various sources to perform exploratory data analysis (EDA), identify trends, and gain insights into user behavior and platform performance.
- Model Development: Develop, test, and deploy machine learning models to solve identified business problems. These models should be scalable and adaptable to evolving requirements.
- Performance Optimization: Continuously monitor and fine-tune machine learning models to ensure optimal performance, accuracy, and scalability.
- A/B Testing: Design and conduct A/B tests to measure the impact of data-driven solutions on user engagement, conversion rates, and other key performance indicators.
- Collaboration: Work closely with data engineers, software developers, and other teams to integrate machine learning solutions into our platform and ensure their seamless operation.
- Documentation: Create comprehensive documentation for developed models, algorithms, and data pipelines to facilitate knowledge sharing and maintainability.
- Research and Innovation: Stay up-to-date with the latest advancements in AI, ML, and e-commerce trends. Apply innovative approaches to address business challenges and explore new monetization opportunities.
Skills and Competencies - Proven 5+ years of relevant work experience as a Data Scientist in a B2B or e-commerce environment.
- Strong proficiency in data manipulation, machine learning, and statistical analysis using Python or similar tools.
- Experience with data visualization libraries (e.g., Matplotlib, Seaborn) and SQL.
- Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
- Effective communication skills to convey complex technical findings to non-technical stakeholders.
- Strong project management skills with the ability to prioritize and manage multiple tasks.
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