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 : resume@volgainfotech.com **


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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