5 Bayer Crop Science jobs in Woodland

We Are
Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence ( brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are
As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.
+ You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.
+ You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).
+ As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.
+ As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
+ You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
The Work
+ Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.
+ Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.
+ Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.
+ Lead technical teams and grow true AI expertise within broader team including offshore
+ Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.
+ Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.
+ Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.
+ Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.
+ Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
This role requires working onsite at our Generative AI Center of Excellence located in Mountain View, CA.
Here's What You Need
+ Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.
+ Minimum of 4 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.
+ Minimum of 4 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.
+ Minimum of 4 years of working knowledge and familiarity with different LLM driven application architecture patterns.
+ Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.
+ Minimum of 4 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.
+ Minimum of 4 years of proven experience with processor and system-level performance modelling.
+ Minimum of 2 years of experience of technical team management or team mentoring.
+ Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years' work experience)
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Annual Salary Range
California $73,800 to $20,400
Colorado 73,800 to 190,400
District of Columbia 78,500 to 202,700
Illinois 68,300 to 190,400
Minnesota 73,800 to 190,400
Maryland 73,800 to 190,400
New York/New Jersey 68,300 to 220,400
Washington 78,500 to 202,700
#LI-NA-FY25
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 ( , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

We Are
Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence ( brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are
As an Advanced AI Research Scientist Associate Director, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.
+ You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.
+ You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).
+ As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.
+ As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
+ You will direct/influence research direction & set strategic research priorities for short-term & long-term workstreams
+ You will also work collaboratively with teams & leaders from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
The Work
+ Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.
+ Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.
+ Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.
+ Lead technical teams and grow true AI expertise within broader team including offshore
+ Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.
+ Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.
+ Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.
+ Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.
+ Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here's What You Need
+ Minimum of 7 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.
+ Minimum of 6 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.
+ Minimum of 7 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.
+ Minimum of 7 years of working knowledge and familiarity with different LLM driven application architecture patterns.
+ Minimum of 7 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.
+ Minimum of 7 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.
+ Minimum of 7 years of proven experience with processor and system-level performance modelling.
+ Minimum of 4 years of experience of technical team management or team mentoring.
+ Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here. ( Location Annual Salary Range
California $132,500 to $38,300
Colorado 132,500 to 292,200
District of Columbia 141,100 to 311,200
Illinois 122,700 to 292,200
Minnesota 132,500 to 292,200
Maryland 132,500 to 292,200
New York/New Jersey 122,700 to 338,300
Washington 141,100 to 311,200
#LI-NA-FY25
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 ( , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

**_What Data Science contributes to Cardinal Health_**
The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
**_Department/Team Overview_**
We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:
+ Distribution center network design and capacity planning
+ Facility layout and design; warehouse capacity and utilization
+ Warehouse process improvement
+ Labor management and automation
+ Inventory management: stocking strategies and replenishment policies
+ Transportation planning: first mile, middle mile, and final mile
+ Sales and operations planning (resource management in response to demand changes)
**_Responsibilities_**
As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:
+ Listen to clients and ask questions to clearly define business problems.
+ Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
+ Develop predictive models to forecast future volumes that will drive capacity/resource needs.
+ Develop customer and product segmentation models and design our supply chain to support differentiated services.
+ Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
+ Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
+ Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
+ Work with Data Engineers to create data models for analyses.
**_Qualifications_**
+ 2-4 years of experience, preferred
+ Bachelor's degree in a quantitative field, or equivalent work experience, preferred
+ MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
+ Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
+ Experience with Structured Query Language (SQL) and working with databases preferred
+ Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
+ Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred
+ Proven ability to work as part of a team as the key analytical resource
+ Excellent communication skills with an ability to explain quantitative analysis in simple business terms
+ Intellectual curiosity, humility, genuine respect and desire to help others
+ Bias for action and passion for driving change
+ Ability to travel up to 5%
**_What is expected of you and others at this level_**
+ Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
+ May contribute to the development of policies and procedures
+ Works on complex projects of large scope
+ Develops technical solutions to a wide range of difficult problems
+ Solutions are innovative and consistent with organization objectives
+ Completes work; independently receives general guidance on new projects
+ Work reviewed for purpose of meeting objectives
+ May act as a mentor to less experienced colleagues
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with myFlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (

**Overview**
GovCIO is currently hiring for an Operations Research Analyst / Data Scientist to support database development, data configuration, data analytics, and reporting activities at Department of Homeland Security (DHS) Immigration and Customs Enforcement (ICE). This role will be responsible for working within an interconnected reporting and analytics team to pull, configure, and analyze data to create real-time metrics, tasking responses, and overall information to support the ICE mission. This will be a fully remote position.
**Responsibilities**
+ Provide effective data management to enable complex analytics from a myriad of systems and software including Oracle, Databricks, AWS, and ServiceNow
+ Ability to align data with data analytic tools such as Power BI, Tableau, and Qlik Dashboards.
+ Facilitate the needs, issues, and challenges faced by the clients; perform gap analysis and recommend solutions and can be enabled within the data systems.
+ Provide trade-off analyses on technical solutions to determine the best tools and methodologies to solve complex data requests.
+ Create project deliverables, including artifacts to ensure adherence to team compliance and quality standards.
+ Use source data to assess the effectiveness of projects and business processes.
+ Work with all team members to analyze changes in requirements and recommend the most expedient solutions in a timely manner.
+ Enable end-user visibility of data and metrics via dashboard creation and metric dissemination
+ Leverage advanced analytic skills to translate complicated issues from multiple information sources into a clear picture for mission leadership.
**Qualifications**
**Required Skills and Experience:**
+ Bachelor's Degreeor commensurate experience.
+ 5+ years of work experience (2 years of experience may be removed for a masters degree)
+ 2+ years of experience in data exploration, data cleaning, visualization, and overall data analytics
+ 2+ years of experience in data visualization tools such as Qlik or PowerBI
**Preferred Skills and Experience:**
+ Experience in distributed data and computing tools including Databricks
+ Experience with data modeling, mapping data flows and data design.
+ Excellent data analytic and communication skills.
+ Strong analytical, problem-solving, and organizational abilities.
+ Ability to work independently in an extremely fast-paced environment.
+ Be flexible to change direction on a moment's notice while also tracking/executing tasks in progress.
+ Ability to think "outside of the box" while communicating or dealing with a variety of situations.
**Clearance Required:**
+ Ability to attain and maintain DHS clearance (US citizenship required)
**Company Overview**
GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.
But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?
**What You Can Expect**
**Interview & Hiring Process**
If you are selected to move forward through the process, here's what you canexpect:
+ During the Interview Process
+ Virtual video interview conducted via video with the hiring manager and/or team
+ Camera must be on
+ A valid photo ID must be presented during each interview
+ During the Hiring Process
+ Enhanced Biometrics ID verification screening
+ Background check, to include:
+ Criminal history (past 7 years)
+ Verification of your highest level of education
+ Verification of your employment history (past 7 years), based on information provided in your application
**Employee Perks**
At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including:
+ Employee Assistance Program (EAP)
+ Corporate Discounts
+ Learning & Development platform, to include certification preparation content
+ Training, Education and Certification Assistance*
+ Referral Bonus Program
+ Internal Mobility Program
+ Pet Insurance
+ Flexible Work Environment
*Available to full-time employees
Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience.
**We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.
**Posted Pay Range**
The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.
**Posted Salary Range**
USD $90,000.00 - USD $100,000.00 /Yr.
Submit a referral to this job ( _US-Remote_
**ID** _2025-5856_
**Category** _Information Technology_
**Position Type** _Full-Time_