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Data Science & Analytics Manager
who will leverage advanced analytical methods to solve critical business challenges, driving growth and efficiency. You will collaborate with stakeholders across Chemical Abstracts Service to develop innovative data-driven solutions, using consultative problem-solving to address complex challenges such as knowledge extraction, classification, search algorithms, and prediction models. This role supports various internal customers (e.g., Product, Technology, Content, Operations, Sales & Marketing) and leads a team of data scientists.
About ACS-I India:ACS International India Pvt Ltd. (ACS-I India) is a wholly owned subsidiary of ACS International Ltd, USA and a part of the American Chemical Society. ACS-I India represent products and services provided by ACS divisions, including CAS to the world’s most important scientific companies, government organizations, global patent offices and academic institutions to promote research and discovery.
About CAS:CAS is a division of the American Chemical Society and is a source of chemical information. CAS provides products and services, solutions for researchers and professional searchers, and support and training. CAS has provided the most comprehensive repository of research in chemistry and related sciences for over 100 years. CAS finds, collects and organizes all publicly disclosed substance information and creates the world's most valuable chemistry databases. Scientists and patent professionals across the world rely on this database.
Job Responsibilities:
ML/AI Thought Leadership & Consultative Problem Definition:Act as a trusted advisor on big data and analytical techniques.Educate stakeholders on AI/ML trends and their implications.Translate business problems into data science hypotheses and design experimental methodologies.
Exploratory Data Analysis & Data Wrangling:Validate, cleanse, normalize, and reconcile data.Apply optimization techniques like EDA and data mining.Organize data from diverse sources for analysis.Evaluate data quality and relevance.
Delivering Innovative Analysis, Models & Insights:Utilize quantitative methods for business and advanced data science.Solve complex problems with statistical and computational methods.Apply NLP, machine learning, and deep learning in various domains.Experience with Generative AI, LLMs, and prompt engineering.Build applications for public cloud environments (AWS preferred).Implement MLOps for automation and ML workflow management.
Communication, Leadership & Implications:Communicate complex analytical concepts clearly.Synthesize analytical findings into actionable recommendations.Develop technical reports and presentations for diverse stakeholders.Present research results and increase company visibility through publications.
Planning, Execution & Management:Manage relationships with clients and internal partners.Lead teams on prioritized research projects.Execute large-scale analytical projects within time, quality, and budget constraints.Recruit, mentor, and coach data scientists.Coordinate project assignments to ensure high-quality results and team satisfaction.
Technologies and Tools:SQL, Hive, Hadoop, Spark, Python, R, Graph DatabasesAdvanced analytics, AI/ML techniques, data mining, programming, and real-world business applications.
Job Requirements:Master’s Degree (PhD Preferred) in a relevant quantitative discipline (e.g., Statistics, Computer Science, Applied Mathematics, Computational Chemistry, Physics, Bioinformatics, Data Science).12+ years of relevant experience with modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, R, Graph Databases).
Preferred:Knowledge in chemistry, drug discovery/development, materials science, or medical related industry.Experience leading consulting engagements or internal shared service organizations.
If interested, please send your cover letter and CV to