Data Scientist (Bangalore, Mumbai, Noida, Gurgaon, Pune)

DATA SCIENCE + GEN AI

Major Duties & Responsibilities:

• Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions.
• Create Proof of Concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects.
• Influence machine learning strategy for Digital programs and projects.
• Make solution recommendations that appropriately balance speed to market and analytical soundness.
• Explore design options to assess efficiency and impact, and develop approaches to improve robustness and rigor.
• Develop analytical/modeling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow).
• Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Create algorithms to extract information from large, multiparametric data sets.
• Deploy algorithms to production to identify actionable insights from large databases.
• Compare results from various methodologies and recommend optimal techniques.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
• Develop and embed automated processes for predictive model validation, deployment, and implementation.
• Work on multiple pillars of AI, including cognitive engineering, conversational bots, and data science.
• Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.
• Lead discussions at peer reviews and use interpersonal skills to positively influence decision making.
• Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices.
• Facilitate cross-geography sharing of new ideas, learnings, and best practices.

Required Qualifications:

• Educational Requirement: Bachelor of Science or Bachelor of Engineering (at a minimum).
• Experience: 4+ years of work experience as a Data Scientist.

Skills:

• A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to quickly cycle hypotheses through the discovery phase of a project.
• Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala).
• Good hands-on skills in both feature engineering and hyperparameter optimization.
• Experience producing high-quality code, tests, and documentation.
• Experience with Microsoft Azure or AWS data management tools such as Azure Data Factory, Data Lake, Azure ML, Synapse, Databricks.
• Understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and deep learning methodologies.
• Proficiency in statistical concepts and machine learning algorithms.
• Good knowledge of Agile principles and processes.
• Ability to lead, manage, build, and deliver customer business results through data scientists or professional services teams.
• Ability to share ideas compellingly, summarize and communicate data analysis assumptions and results.
• Self-motivated and a proactive problem solver who can work independently and in teams.