Job Location: Bangalore
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Data Scientist
POSITION PURPOSE:
The individual works collaboratively with interdisciplinary scientists, IT and engineering professionals across the organization to solve critical problems and answer important questions that drive key decisions for our business.
Fosters new game changing ideas to produce sophisticated, intelligent optimization solutions and predictive models.
Works on a team as an individual contributor with other Data Scientists.
YOUR TASKS AND RESPONSIBILITIES:
- Providing technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline.
- Independently perform statistical analysis, computer programming, predictive modeling and experimental design.
- Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community.
- Using advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions.
- Developing sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators. Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.
WHO YOU ARE:
- Bachelors degree with 5+ years of experience or Masters degree with 2+ years experience or PhD.
- Educational preparation or applied experience in at least one of the following areas: Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.
- Demonstrates intermediate proficiency in computational skills and level of experience building data models using R, Python or other statistical and/or mathematical programming packages.
- Strong proficiency in predictive modeling—to include comprehension of theory, modeling/identification strategies and limitations and pitfalls.
- Intermediate proficiency in machine learning algorithms and concepts.
- Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen.
- Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders
Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.
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