Bayer
Senior Data Scientist
Bayer, Hanover, New Jersey, United States,
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.
Senior Data Scientist
Sr. Data Scientist for Whippany, NJ to develop, implement & deploy machine learning and AI models to lead and oversee pricing and demand forecasting projects for crop science products; lead & organize code reviews; develop reports on model inputs & outputs, use cases and product performance; lead the communication of modeling predictions, results & recommendations to internal stakeholders; provide technical direction on test design, research formulation & model validation; mentor & train junior data scientists.
Minimum Requirements:Master’s in Data Science, Applied Mathematics, Statistics or closely related quantitative field.1 year experience using machine learning and/or deep learning algorithms in Python and R with agronomic, biotech and/or environmental data.Experience in product demand forecasting, pricing, elasticity estimation and/or competitor simulation.Knowledge of Copula Theory to identify & analyze spatial and temporal data correlations.Experience in developing discrete choice & causal inference models.Proficiency in using XGBoost & NGBoost for sales forecasting & feature engineering.Experience with SHAP for model interpretation.Familiarity with code review using GitHub for version control.Experience using automatic hyperparameter tuning tools, including Optuna.Contributing to deploying code into a production environment using a scalable cloud-based platform, including AWS and/or Domino.Assisting in querying data from GCP using BigQuery.
Telecommuting permitted. Mail resume to Jill Martin, Bayer U.S. LLC, 800 N. Lindbergh Blvd. E2NE, St. Louis, MO 63167 or email resume to careers_us@bayer.com. Include reference code below with resume.
YOUR APPLICATIONBayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Bayer is an E-Verify Employer.
Location:
United States : New Jersey : Whippany
Division:
Enabling Functions
Reference Code:
819718
Contact UsEmail:
careers_us@bayer.com
#J-18808-Ljbffr
Senior Data Scientist
Sr. Data Scientist for Whippany, NJ to develop, implement & deploy machine learning and AI models to lead and oversee pricing and demand forecasting projects for crop science products; lead & organize code reviews; develop reports on model inputs & outputs, use cases and product performance; lead the communication of modeling predictions, results & recommendations to internal stakeholders; provide technical direction on test design, research formulation & model validation; mentor & train junior data scientists.
Minimum Requirements:Master’s in Data Science, Applied Mathematics, Statistics or closely related quantitative field.1 year experience using machine learning and/or deep learning algorithms in Python and R with agronomic, biotech and/or environmental data.Experience in product demand forecasting, pricing, elasticity estimation and/or competitor simulation.Knowledge of Copula Theory to identify & analyze spatial and temporal data correlations.Experience in developing discrete choice & causal inference models.Proficiency in using XGBoost & NGBoost for sales forecasting & feature engineering.Experience with SHAP for model interpretation.Familiarity with code review using GitHub for version control.Experience using automatic hyperparameter tuning tools, including Optuna.Contributing to deploying code into a production environment using a scalable cloud-based platform, including AWS and/or Domino.Assisting in querying data from GCP using BigQuery.
Telecommuting permitted. Mail resume to Jill Martin, Bayer U.S. LLC, 800 N. Lindbergh Blvd. E2NE, St. Louis, MO 63167 or email resume to careers_us@bayer.com. Include reference code below with resume.
YOUR APPLICATIONBayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Bayer is an E-Verify Employer.
Location:
United States : New Jersey : Whippany
Division:
Enabling Functions
Reference Code:
819718
Contact UsEmail:
careers_us@bayer.com
#J-18808-Ljbffr