As a Senior Data Scientist, you will lead the charge in transforming complex data into actionable insights that drive decision-making processes for a broad range of industry leaders. Your expertise in statistics, probability theory, machine learning algorithms, and data visualization will be pivotal in guiding the company's data-driven strategies and innovations. Infogain offers a dynamic work environment where you will have the opportunity to utilize your advanced technical skills while working on cutting-edge projects alongside top-tier professionals in the field.

Key Responsibilities

1. Data Science Leadership. Leverage your deep expertise in data science to lead strategic initiatives, mentor a team of junior data scientists, and ensure the successful execution of data-driven projects. You'll be expected to act as a technical thought leader, guiding teams through the process of tackling complex data challenges.
2. Statistical Analysis & Probability. Utilize expert knowledge of statistical methods and probability theory to draw insights from large, noisy datasets. You will be responsible for providing accurate and reliable statistical analysis to guide business decisions.
3. Machine Learning & AI. Lead the implementation of machine learning algorithms and models to predict business trends, automate processes, and optimize performance. Your advanced understanding of machine learning techniques, from supervised learning to deep learning, will directly influence the success of AI initiatives at Infogain.
4. Data Visualization & Reporting. Use advanced data visualization tools like Tableau and Power BI to create meaningful dashboards and reports, transforming raw data into compelling visualizations that are easy to understand for both technical and non-technical stakeholders.
5. Data Preprocessing & Cleaning. Expertly handle data preprocessing and cleaning, ensuring the data is in its optimal form for analysis. You will apply your extensive knowledge of data wrangling techniques to remove inconsistencies and make datasets suitable for modeling.
6. Team Collaboration & Communication. Work closely with cross-functional teams including engineers, product managers, and business stakeholders to ensure alignment on project goals, data requirements, and technical approaches. Your communication skills will be key in presenting findings and explaining complex data insights to diverse audiences.
7. GenAI Fundamentals. Be at the forefront of the Generative AI revolution, applying your understanding of GenAI fundamentals to enhance existing models and build new, innovative solutions that provide clients with a competitive edge.

Core Skills & Expertise

1. Advanced Statistical & Probability Theory. A deep understanding of statistical concepts, hypothesis testing, and probabilistic models is essential. You will use these skills to ensure the accuracy and reliability of data-driven insights.
2. Programming Proficiency. Expertise in programming languages such as Python, R, or SQL. Python is particularly favored for its extensive libraries and frameworks in machine learning and data manipulation.
3. Machine Learning Expertise. A strong command of machine learning algorithms, including but not limited to regression, classification, clustering, deep learning, and natural language processing. You will be expected to build and optimize predictive models that enhance business outcomes.
4. Data Visualization Mastery. Proficiency in Tableau, PowerBI, or similar tools to create impactful visual representations of data, ensuring that key insights are easily interpretable by various stakeholders across the business.
5. Data Cleaning & Preprocessing. Experience with techniques such as handling missing data, outliers, and data normalization. Your role will ensure that the datasets are clean, accurate, and ready for analysis.
6. Team Leadership. As a senior-level Data Scientist, you will guide and manage teams of other data scientists and analysts, ensuring high levels of collaboration, efficiency, and innovation within the team.
7. Strong Communication & Presentation Skills. You will regularly present your findings to clients and internal stakeholders, requiring the ability to communicate complex technical concepts in a clear, understandable manner.

Experience & Qualifications

1. Minimum of 12 to 14 Years of Experience. A proven track record of at least 12 years in data science, with substantial hands-on experience in statistics, machine learning, and data analysis.
2. Educational Background. A degree in a related field such as Computer Science, Data Science, Mathematics, Statistics, or Engineering. Advanced degrees such as a Master’s or Ph.D. are a plus.
3. Leadership Experience. Proven experience in leading data science teams, driving projects from conception to completion, and collaborating effectively with senior leadership and other business units.

Why Infogain?

At Infogain, we are not just a technology company—we are a catalyst for transformative business outcomes. Our commitment to fostering a human-centered work environment is reflected in our collaborative culture, where every employee is empowered to contribute, grow, and innovate. As a leader in digital transformation, we offer unparalleled career growth opportunities, with access to cutting-edge technologies and complex, industry-leading projects.

If you are a highly skilled Data Scientist with a passion for innovation, a deep understanding of machine learning, and a desire to lead transformative projects, Infogain offers an exciting opportunity for you to take your career to the next level.