Data Scientist

Entytle is seeking a highly skilled and experienced Data Scientist to join our growing team in Pune, Maharashtra. As a Data Scientist, you will be instrumental in leveraging your expertise in machine learning and statistical analysis to address complex business challenges within the installed base sales automation domain. This is an exciting opportunity to work with cutting-edge AI-powered platforms and contribute to increasing customer loyalty and lifetime value for B2B manufacturers.

You will collaborate closely with customers to understand their specific needs, translating these into robust data science solutions. Your role will involve a deep dive into various data sources, uncovering insights, and applying advanced analytical techniques to drive impactful business outcomes for Entytle and its clients.

Key Responsibilities

• Collaborate with customers to comprehend business challenges and propose innovative modeling and algorithmic solutions using advanced statistical and machine learning techniques.
• Work cross-functionally with data science, data engineering, development, and product management teams to convert business requirements into technical specifications for data science solutions.
• Analyze diverse data sources to extract insights and correlations, identifying opportunities to apply data science for existing and new business problems.
• Perform statistical analysis and apply modeling techniques on both small and large datasets to resolve specific business issues in installed base sales automation.
• Implement best practices for applying and deploying data science solutions at scale, ensuring efficiency and effectiveness.
• Effectively communicate complex technical concepts to both technical and non-technical stakeholders, including customers.

Requirements

• Master’s Degree in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics, or a related field with a strong focus on data analysis.
• Minimum of 5 years of hands-on experience in machine learning, statistics, or experiment design.
• Proficiency in data analysis and programming languages such as Python, R, and SQL.
• Expertise in machine learning, statistics, and data analysis, with a comprehensive understanding of advanced methods and their application.
• Solid grasp of probability, statistical, or mathematical modeling, coupled with strong analytical and quantitative problem-solving abilities.
• Familiarity with software development cycles, source control systems (e.g., Git), databases, and cloud computing platforms like AWS.

What We Offer

• An opportunity to work with an innovative global provider of Installed-Base Sales Automation solutions.
• A collaborative and supportive team environment that encourages growth and teamwork.
• Exposure to cutting-edge AI-powered platforms and real-world data science challenges.
• The chance to make a significant impact on customer loyalty and revenue growth for B2B manufacturers.