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Contract Machine Learning Data Scientist Jobs in Indiana

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Senior Data Scientist

Carmel, IN · On-site

$125 - $150/hr

Experience developing machine learning and AI-driven predictive analytics, which may include ... Experience with common data science and machine learning frameworks such as NumPy, TensorFlow ...

Senior Data Scientist

Carmel, IN · On-site

$119K - $144K/yr

Experience developing machine learning and AI-driven predictive analytics, which may include ... Experience with common data science and machine learning frameworks such as NumPy, TensorFlow ...

Senior Data Scientist

Carmel, IN · On-site

$125 - $150/hr

Experience developing machine learning and AI-driven predictive analytics, which may include ... Experience with common data science and machine learning frameworks such as NumPy, TensorFlow ...

Showing results 21-40

Contract Machine Learning Data Scientist information

What is a contract machine learning data scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

What are the key skills and qualifications needed to thrive as a contract machine learning data scientist?

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What are popular job titles related to Contract Machine Learning Data Scientist jobs in Indiana?

For Contract Machine Learning Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Data Scientist jobs in Indiana look for?

The top searched job categories for Contract Machine Learning Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Contract Machine Learning Data Scientist jobs?

Cities in Indiana with the most Contract Machine Learning Data Scientist job openings:

Senior Data Scientist

Indianapolis, IN • On-site

Corteva, Inc.
Manufacturing • 10K+ employees

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Corteva Agriscience rating

8.2

Company rating: 8.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

88th of 547 rated manufacturers


Job description

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
We are seeking a highly skilled Senior Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop adaptive bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments.
What You'll Do:
  • Design and implement adaptive process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and cost savings.
  • Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing.
  • Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction.
  • Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results.
  • Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance.
  • Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders.
  • Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control.

What Skills You Need:
  • M.S. + 6 years' experience or Ph.D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field.
  • Strong foundation in machine learning, statistical modeling, and process control.
  • Proficiency in Python, R, or another programming language.
  • Excellent communication and collaboration skills; ability to work in multidisciplinary teams.

Preferred Skills:
  • Familiarity with bioprocess workflows, fermentation, and downstream processing.
  • Hands-on experience with bioprocess optimization models and adaptive process control strategies.
  • Experience with industrial data systems and cloud platforms.
  • Knowledge of reinforcement learning or adaptive experimentation / Bayesian optimization for process improvement.

Why Join Us?
You will be part of a globally distributed team driving innovation in bioprocess optimization and manufacturing excellence. This role offers opportunities to work on cutting-edge projects that directly impact productivity, sustainability, and cost efficiency.
#LI-BB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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