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Data Scientist
Bayer Chesterfield, MO
Apply
$107k-132k (estimate)
Full Time 2 Months Ago
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Bayer is Hiring a Data Scientist Near Chesterfield, MO

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
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Date Scientist, are to:
  • Delivering predictive- and prescriptive models using machine learning, deep learning, and other technologies, fostering new game- changing ideas to produce sophisticated, intelligent optimization solutions and predictive models.
  • Working as an individual contributor with other data scientists, data engineers and domain experts across the organization to solve critical problems.
  • Independently performing computer programing, modeling and study design to drive the best quality of data science solutions.
  • Creating data science solutions using advanced mathematical models, machine learning algorithms, operational research techniques and strong business acumen to deliver insight and recommendation for breeding pipeline decision. - Build cross-functional relationships to collaboratively partner with the business and effectively network within the data science community. - Demonstrating abilities to deliver presentations to broad audiences across functions.
WHO YOU ARE
Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:
Required Qualifications:
  • Bachelor's degree 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.
  • Expert level of proficiency in computational skills, including a deep understanding of advanced analytics techniques and emerging forms of analytics.
  • Strong level of experience building data models using R, Python or other statistical and/or mathematical programming packages.
  • Expert level of proficiency in Machine learning algorithms and concepts.
  • Professional expertise in competencies in linear modeling, scientific modeling, and development and application of increased domain knowledge; proficiency in standard suite and/or modeling theories.
  • Extensive experience in successful delivery of valuable analysis through application of domain knowledge; evidence of strong business acumen.
  • Excellent communication skills with the ability to communicate complex analysis in a clear, precise, and actionable manner and deliver presentations to large audiences.
Preferred Qualifications:
  • Master's or PhD degree 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.
  • Experience with SQL.
  • Familiarity with Docker and CI/CD tools.
  • Familiarity with advanced data science topics like Autoencoder, numerical optimization, transfer learning etc.
  • Experience with cloud data science environments like Domino Data Lab and AWS Sagemaker.
  • Experience with AWS, docker and other cloud deployment tools.
  • Knowledge of plant breeding and/or plant biology.
YOUR APPLICATION
Bayer 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 : Missouri : Chesterfield Division: Crop Science Reference Code: 816776 Contact Us Email: hrop_usa@bayer.com

Job Summary

JOB TYPE

Full Time

SALARY

$116k-142k (estimate)

POST DATE

06/23/2024

EXPIRATION DATE

07/09/2024

HEADQUARTERS

BAYTOWN, TX

SIZE

>50,000

FOUNDED

2009

CEO

MIKE FURMAN

REVENUE

$50M - $200M

INDUSTRY

Logistics Services

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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