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Temporary Data Scientist Machine Learning Jobs in Indiana

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... Apply advanced modeling techniques, including machine learning, deep learning, statistical methods ...

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... Apply advanced modeling techniques, including machine learning, deep learning, statistical methods ...

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

New

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

New

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

$85K - $116K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen ... Experienceworking with biological data, andin applying machine learning to computational biology

Data Scientist I, FTR

Carmel, IN · On-site

$73K - $98K/yr

As our Data Scientist I FTR, you will deliver insights and analytics while working collaboratively ... Develop complex models for large-scale machine learning, aligning with best practices where ...

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Temporary Data Scientist Machine Learning information

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a Temporary Data Scientist specializing in Machine Learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a Temporary Data Scientist Machine Learning, and why are they important?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary Data Scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Indiana? The most popular types of Data Scientist Machine Learning jobs in Indiana are:
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Senior Data Scientist

Senior Data Scientist

Elanco

Indianapolis, IN

Full-time

Retirement, PTO

Posted 20 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

42nd of 73 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role: Senior Data Scientist 

We are seeking a highly motivated and experienced Senior Data Scientist to join our Enterprise Analytics and Governance organization. This role is critical in transforming complex data into strategic insights and scalable solutions that drive business value. The ideal candidate will combine strong expertise in advanced analytics, operations research, and AI/ML with the ability to translate ambiguous business challenges into impactful, production-ready solutions. 

Your Responsibilities:

  • Lead end-to-end data science initiatives - from problem definition and data exploration to deployment of scalable, production-grade solutions. 
  • Apply advanced modeling techniques, including machine learning, deep learning, statistical methods and operations research (e.g., optimization, simulation), to solve complex business problems. 
  • Partner with cross-functional business stakeholders to translate strategic objectives into actionable analytical solutions. 
  • Design and develop robust data pipelines and models leveraging platforms such as Databricks, Azure Synapse, and SAP. 
  • Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making. 
  • Implement best practices in software engineering, including modular code design, testing, version control, and CI/CD pipelines. 
  • Ensure model transparency, explainability and interpretability using Explainable AI (XAI) approaches. 
  • Monitor, evaluate, and optimize model performance in production environments, including establishing observability and feedback loops. 
  • Communicate complex analytical insights clearly to both technical and non-technical stakeholders. 
  • Provide technical leadership and mentorship to junior team members. 

What You Need to Succeed (Minimum Qualifications):

  • Education/Required Experience: PhD in Statistics, Data Science, Computer Science, Operations Research or a related STEM field with 2+ year of experience, OR Master’s degree with 5+ years of relevant experience. 
  • Strong expertise in machine learning, deep learning, statistics and/or optimization. 
  • Advanced proficiency in Python (and /or R), SQL, with experience building and maintaining data pipelines in Databricks or similar environments. 
  • Solid foundation in software engineering best practices, including Git, unit and integration testing, CI/CD and model deployment capabilities. 
  • Proficiency in data visualization tools such as Power BI, Tableau or Databricks Dashboard. 
  • Proven ability to deploy and manage high-performance models in production environments using machine learning ops tools and technologies. 

What Will Give You the Competitive Edge (Preferred Qualifications):

  • Experience building end-to-end observability frameworks, including model monitoring, drift detection, and business performance tracking. 
  • Familiarity with Natural Language Processing, Generative AI techniques (e.g., LLMs, RAG architectures, AI Agents). 
  • Experience working with large-scale enterprise data platforms and cloud ecosystems (Azure, AWS, GCP). 
  • Demonstrated ability to operate effectively in ambiguous, fast-paced environments. 

Additional Information:

  • Location: Indianapolis, IN Global HQ (Hybrid Environment)
  • Travel: Minimal

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.


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