Sr Data Scientist

4 weeks ago

mumbai, India VolgaInfotech Pvt. Ltd Full time
** We are looking for immediate joiners only . If interested , please send your resume along with your CTC, ECTC and Notice period details : **
Position Overview
We are seeking a highly skilled and motivated Data Scientist to join our team and develop an advanced pricing optimization and forecasting AI/ML model. This individual will play a critical role in designing, building, and deploying a real-time dynamic pricing system that adjusts to competitor price movements and market conditions. The ideal candidate is hands-on with machine learning, proficient in data extraction and preparation, and passionate about delivering impactful business solutions.
Key Responsibilities
Model Developmentand Optimization
Design and build AI/ML models to recommend optimal real-time prices for specific products.
Develop algorithms to dynamically adjust prices based on different conditions.
Implement and validate predictive models for forecasting price sensitivity and
demand elasticity.
Data Extraction and Management
Extract, clean, and preprocess data from internal and external sources.
Work with APIs and web scraping tools to gather real-time competitor data.
Design ETL pipelines to manage large-scale datasets eHiciently.
Feature Engineering and Analytics
Identify key features and variables impacting pricing decisions.
Perform exploratory data analysis (EDA) to uncover insights and trends.
Collaborate with stakeholders to define business metrics and key performance
indicators (KPIs).
Deployment and Real-time Integration
Deploy machine learning models into production systems to deliver real-time price recommendations.
Monitor and fine-tune models to ensure accuracy and adaptability in dynamic environments.
Collaborate with engineering teams to integrate solutions with existing systems.
Stakeholder Collaboration
Partner with product, marketing, and operations teams to align pricing strategies with business objectives.
Present findings and recommendations to stakeholders in a clear and actionable manner.
Required Skills and Qualifications
Education:
Bachelor’s or Master’s degree in computer science, Data Science, Mathematics, Economics, or a related field.
Experience:
5+ years of hands-on experience in data science, machine learning, or applied statistics.
Proven experience in building and deploying pricing optimization models or similar systems.
Technical Skills
Proficiency in Python (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
Experience in optimization algorithms, statistical modeling, and time-series
forecasting.
Experience with SQL and NoSQL databases for data extraction and
management.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) for deploying
ML solutions.
Familiarity with web scraping tools (e.g., BeautifulSoup, Scrapy) and API
integrations.
Analytical Skills
Strong foundation in data analysis, feature engineering, and predictive modeling.
Expertise in demand forecasting and price elasticity modeling is a plus.
SoftSkills
Strong problem-solving skills and the ability to work independently.
Excellent communication and presentation skills.
Preferred Qualifications
Experience in e-commerce, retail, or supply chain industries.
Familiarity with reinforcement learning or other advanced optimization
techniques.
Understanding of pricing strategies and competitive analysis.

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