S'INSCRIRE
Retour aux emplois
XX
Lead Data ScientistBayer • United States
Trouver des emplois similaires

Cette offre d'emploi n'est plus disponible

XX

Lead Data Scientist

Bayer
  • US
    United States
  • US
    United States
Trouver des emplois similaires

À propos

At Bayer, we are visionaries dedicated to tackling the world's most pressing challenges and striving for a future where 'Health for all, Hunger for none' is a reality. Our team is fueled by energy, curiosity, and unwavering commitment, constantly learning from the diverse perspectives of our community to expand our capabilities and redefine what's possible. Join us to embark on a fulfilling career alongside brilliant minds, making a significant impact. Lead Data Scientist YOUR ROLE AND RESPONSIBILITIES As a Lead Data Scientist, you will oversee all aspects of data science within your platform, including strategic direction, capability building, resource management, and product output. Your key responsibilities will include: Establishing clear goals and direction while enhancing team capabilities and professionalism. Engaging in collaborative efforts to align data science with organizational priorities and initiatives. Utilizing a variety of data science methodologies and tools to drive insights and improve operational practices. Conducting and providing critique of statistical analyses to ensure accuracy and relevance. Building and maintaining robust data engineering practices with a focus on data integrity. Driving innovation in data science by identifying opportunities for enhanced analysis and product delivery. Championing ethical standards in data management and ensuring compliance with all relevant legislation. Developing effective communication strategies to present data science initiatives to senior leadership. Leading the technical community within the team to foster collaboration and continuous development. Collaborating on multi-disciplinary teams to ensure seamless integration of data science products. WHO YOU ARE Bayer is seeking candidates who have the following qualifications: Required Qualifications: Strong academic foundation with demonstrated experience in machine learning, AI, statistical modeling, and data analytics. Proficient in programming languages such as Python or R and familiar with relevant libraries and frameworks like TensorFlow, PyTorch, and scikit-learn. In-depth knowledge of statistical methods, hypothesis testing, regression analysis, and clustering techniques. Experience with big data technologies including Hadoop and Spark. Proficient in SQL and both relational and NoSQL databases. Exceptional communication skills, able to convey complex ideas clearly. Proven track record of collaboration within interdisciplinary teams. Experience in mentoring and leading teams of data scientists. Capability to align data science projects with business objectives. Strong decision-making abilities. Preferred Qualifications: Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field with ten or more years of experience. Excellent analytical and problem-solving skills. The salary range for this position is expected to be between $147,040 to $220,560, with potential for additional bonuses or commissions. Employees will also receive benefits, including healthcare, vision, dental, retirement plans, PTO, and sick leave. This posting will remain open until at least 2/24/2025. YOUR APPLICATION If you meet the above qualifications and are motivated to contribute to our mission of 'Health for all, Hunger for none', we encourage you to apply. Be part of something bigger—be you, be Bayer. Location:
United States: Missouri: Creve Coeur, Chesterfield, St. Louis; New Jersey: Whippany; or remote. Bayer is an Equal Opportunity Employer, including individuals with disabilities and veterans. We promote diversity and inclusion in our workplace and encourage applicants to seek accommodations if needed during the application process. Bayer is committed to compliance with local regulations regarding employment and will ensure that you have access to all necessary resources throughout your application process. Division:
Enabling Functions Reference Code:
862097
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.

Trouver des emplois similaires