Data Scientist
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As a global leader in animal health, Ceva Animal Health believes our success is linked to our passionate people researching, developing , producing and supplying innovative health solutions for all animals, which contributes to the future of our diverse planet.
We are committed to ensuring the highest possible level of care and well-being for farm animals (poultry, pigs, ruminants), companion animals (dogs and cats) and wildlife.
Indeed, Our “Together, Beyond Animal Health” vision emphasizes that the health and wellbeing of people, animals and our planet are totally interlinked. More than ever, Ceva is committed to a "One Health" approach.
As part of our “Diversity, Equity and Inclusion” policy, Ceva Animal Heath is committed to the employment of people with disabilities and will make reasonable accommodations throughout the interview process to ensure an inclusive and accessible experience for all applicants. To request an accommodation, please contact a member of the Ceva Talent Acquisition team.
Your
missions :
Location: Lenexa, KS
The Data Scientist, part of the Operational, Digital and AI team in Manufacturing, leverages data to drive business growth and innovation. This role is responsible for an independent delivery of data science/ai solutions for one of Ceva’s biggest manufacturing sites. This role will be not only to suggest reasonable data science approaches and to implement them, but also to collaborate with other teams and departments to ensure alignment and integration and to get perfect business understanding and buy-in for implementation of the solutions.
| Responsibilities and Key Duties: |
- Design and implement data solutions: Utilize techniques and tools such as machine learning, large language models, statistical modelling, data mining, and data visualization.
- Generate insights and recommendations: Analyse and interpret data to provide actionable solutions for business problems and opportunities.
- Communicate findings: Present data insights and solutions to various audiences, including senior management, business partners, and customers.
- Establish best practices: Follow and maintain Data Science standards, including the use of Git, Jira, and code deployment on the Microsoft Azure platform.
- Collaborate: Work with other teams and departments to ensure data alignment and integration across the organization.
- All other duties as assigned
- Drive Ambition and Accountability: Monitor effectiveness and standards of excellence by communicating the expectations (outcomes, deliverables) and challenging one another.
- Influence Others: Express oneself with transparency, honesty and relevant data.
- Collaborate with Empathy: Demonstrate an open-minded approach towards the other team members to show respect and to support others input.
- Engage and Develop: Create an environment where transparency and regular communication reign to enhance awareness and efficiency
- Shape Solutions Out of Complexity: Keen on listening to other trends and ideas to enrich solution perspectives.
- Client Focus: Enable clear communication in order to respond accurately to any concerns and needs.
| Technical / Functional Competencies: |
Technical Skills: Proficiency in Python and/or R, and other data science tools and languages. Demonstrable knowledge of the standard Data Science topics. Interest in statistical modelling.
Educational Background: Bachelor’s degree in data science, computer science, statistics, mathematics, or a related field required. Master’s degree preferred.
Experience: At least 5 years of experience in data science, analytics, or related roles.
Demonstrable, professional communication and presentation skills, with the ability to explain complex data concepts and solutions to various audiences. Strong collaboration skills and “win as one team” mindset. Curious and passionate about data and innovations.Willingness to learn and adapt to new challenges and opportunities.
Ability to read, write, and speak English is required.
N/A
Less than 10%; international travel may be required
This job description is intended to convey information essential to understanding the scope of the job and general nature and level of work performed by job holders within this job.This job description is not intended to be an exhaustive list of qualifications, skills, duties and responsibilities or working conditions associated with the job.This job description is not an employment contract.Ceva reserves the right to modify job duties and/or job descriptions at any time to meet the needs of the business.
*VEVRAA Federal Contractor
**Ceva is an equal opportunity employer and all qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, age, genetic information, actual or perceived sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Ceva encourages men and women, members of all racial and ethnic groups, individuals with disabilities and veterans to apply.
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Your
profile :
Educational
Background: Bachelor’s
degree in data science, computer science, statistics, mathematics, or a related
field required. Master’s degree preferred.
Experience: At least 5 years of experience in
data science, analytics, or related roles.
Demonstrable, professional communication and presentation
skills, with the ability to explain complex data concepts and solutions to
various audiences. Strong collaboration skills and “win as one team” mindset.
Curious and passionate about data and innovations. Willingness to learn and adapt to new
challenges and opportunities.
