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Executive Data Scientist Experimentation Jobs in Indiana

Data Scientist

Warsaw, IN ยท On-site

$60 - $80/hr

As a mid-level Data Scientist at Samba in Warsaw, you will own end-to-end delivery of significant ... Proficiency with MLOps practices: experiment tracking, pipeline orchestration (Airflow), and ...

Data Scientist

Fishers, IN ยท On-site +1

Familiarity with tools such as MLflow for model experimentation and registration, Git for version ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Familiarity with tools such as MLflow for model experimentation and registration, Git for version ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results. * Collaborate with cross-functional teams to integrate data science ...

Familiarity with tools such as MLflow for model experimentation and registration, Git for version ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Familiarity with tools such as MLflow for model experimentation and registration, Git for version ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Senior Data Scientist (m/f/d)

Warsaw, IN ยท On-site

$150 - $200/hr

As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an ... Review experiment designs, create thorough documentation, and help shape internal standards for how ...

As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an ... Review experiment designs, create thorough documentation, and help shape internal standards for how ...

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Executive Data Scientist Experimentation information

What is an executive data scientist experimentation?

An Executive Data Scientist Experimentation is a senior-level professional who leads and oversees the design, implementation, and analysis of experiments and data-driven initiatives within an organization. They are responsible for developing experimentation strategies, guiding teams in A/B testing, and ensuring that data insights drive business decisions. This role often collaborates with executive leadership to align data science projects with strategic goals and maximize business impact. Executive Data Scientists also mentor junior staff, set best practices, and ensure that experimentation methods are rigorous and ethical.

What are the key skills and qualifications needed to thrive as an executive data scientist experimentation?

To thrive as an Executive Data Scientist Experimentation, you need advanced expertise in statistics, experimental design, and data modeling, typically backed by a PhD or master's degree in a quantitative field. Mastery of tools such as Python, R, SQL, and platforms like AWS or Azure, along with experience in A/B testing and big data systems, is essential. Leadership, strategic thinking, and strong communication skills are crucial for guiding teams and translating complex data into actionable business insights. These skills and qualities are vital for driving data-driven decision-making and delivering impactful business results through rigorous experimentation.

How does an executive data scientist experimentation typically collaborate with cross-functional teams to drive business impact?

As an Executive Data Scientist focusing on experimentation, you will frequently partner with product managers, engineers, and business leaders to design and interpret experiments that inform strategic decisions. Your role involves translating business questions into measurable hypotheses, guiding teams on best practices for A/B testing, and ensuring rigorous analysis. Effective communication is key, as you'll need to present complex findings in a clear way that supports decision-making across the organization. This collaborative approach not only maximizes the impact of your data insights but also fosters a culture of evidence-based innovation.

What is the difference between Executive Data Scientist Experimentation vs Data Scientist Experimentation?

AspectExecutive Data Scientist ExperimentationData Scientist Experimentation
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic planning, cross-department collaboration, leadership rolesData analysis, model development, experimentation execution
Employer & Industry UsageTech companies, finance, consulting firms with strategic focusTech, e-commerce, healthcare, and other data-driven industries

Executive Data Scientist Experimentation roles focus on strategic oversight, leadership, and aligning experimentation efforts with business goals. Data Scientist Experimentation roles are more hands-on, involving designing and executing experiments to analyze data and inform decisions. Both roles require strong analytical skills, but the executive level emphasizes leadership and strategic impact.

What are the most commonly searched types of Data Scientist Experimentation jobs in Indiana?

The most popular types of Data Scientist Experimentation jobs in Indiana are:

What are popular job titles related to Executive Data Scientist Experimentation jobs in Indiana?

For Executive Data Scientist Experimentation jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Executive Data Scientist Experimentation jobs in Indiana look for?

The top searched job categories for Executive Data Scientist Experimentation jobs in Indiana are:

What cities in Indiana are hiring for Executive Data Scientist Experimentation jobs?

Cities in Indiana with the most Executive Data Scientist Experimentation job openings:

Infographic showing various Executive Data Scientist Experimentation job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Posted 4 days ago


Job description

Want to use Data and AI to transform global trade at one of the world's largest logistics companies?
Join FedEx Global Trade Services (GTS) as a Data Scientist and apply advanced analytics, machine learning, and AI to solve complex business challenges, drive strategic decisions, automate manual processes, and shape the future of our Data & AI transformation.

Position Summary

Want to use Data and AI to transform global trade at one of the world's largest logistics companies?

Join FedEx Global Trade Services (GTS) as a Data Scientist and apply advanced analytics, machine learning, and AI to solve complex business challenges, drive strategic decisions, automate manual processes, and shape the future of our Data & AI transformation.

Who we are:

FedEx is the largest express transportation company in the world, connecting more than 220 countries and territories. We work every moment to deliver the most important package of someone's day. Our team of passionate people know their day-to-day work is invaluable in delivering outstanding experience to our customers. 530,000 team members strong, we are as diverse as the world we serve. We love what we do, and we do it well. Our reach is big, and so are our dreams. Join us and let's write our next chapter together.

What you will be doing

Drive Data-Driven Decision Making:

  • Analyze large and complex datasets to identify trends, risks, opportunities, and operational improvement initiatives.

  • Develop actionable insights that support strategic and operational decision-making across Global Trade Services.

  • Create predictive and prescriptive analytics solutions that improve productivity, service performance, and trade compliance.

Develop Advanced AI Solutions & Analytics:

  • Design, build, and deploy machine learning and AI models that address critical business challenges.

  • Assess, identify and prioritize opportunities to automate manual processes through advanced analytics and intelligent automation and deliver measurable business value.

  • Explore Generative AI solutions to enhance knowledge management, customer interactions, operational workflows, and employee productivity.

Partner with Business Leaders:

  • Collaborate closely with customs experts, operations teams, product owners, and technology partners to understand business problems and translate them into analytical solutions.

  • Facilitate data-driven discussions and influence stakeholders through compelling insights and storytelling.

  • Support the development of the Global Trade Services Data & AI roadmap.

Build the Future Data & AI Capability:

  • Help establish best practices in data science, experimentation, model governance, and responsible AI.

  • Contribute to building a data-centric culture by promoting data literacy and analytical thinking across the organization.

  • Stay abreast of emerging technologies and industry trends in AI, analytics, and global trade.

Required Qualifications

  • Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.

  • Experience applying advanced analytics, machine learning, or AI techniques in a business environment.

  • Experience with SQL and large-scale data environments.

  • Programming skills and experience with modern data science libraries and frameworks.

  • Knowledge of data visualization tools such as Power BI, Tableau, or similar platforms.

  • Knowledge of predictive modeling, statistical analysis, experimentation, and machine learning methodologies.

  • Strong problem-solving and critical-thinking capabilities.

  • Excellent communication and stakeholder management skills.

Preferred Qualifications

  • Experience with Generative AI, Large Language Models (LLMs), and AI-powered automation solutions.

  • Experience with cloud-based analytics platforms and modern data architectures.

  • Experience in logistics, transportation, customs, supply chain, or international trade environments.

  • Familiarity with Responsible AI, data governance, and model lifecycle management practices.

What do we offer:

This is a unique opportunity to help define the future of Global Trade Services at one of the world's most recognized logistics organizations.

  • Work on high-impact global challenges that affect international trade and customer experience.

  • Apply cutting-edge AI and analytics technologies to real-world business problems.

  • Collaborate with experts in customs, technology, operations, and business transformation.

  • Influence the creation of a world-class Data & AI capability within Global Trade Services.

  • Help shape the future of how global trade is managed, automated, and optimized at FedEx.

  • Competitive salary and comprehensive benefits package.

  • Flexible hybrid working arrangements.

  • Tuition Assistance Program.

Join us in transforming Global Trade Services into a data-driven and AI-powered organization that sets new standards for innovation, compliance, and customer experience across the global trade ecosystem.

Additional information:

  • #LI-Hybrid

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity employer and we are committed to a diverse and inclusive workforce in which we provide growth opportunities for all

Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World's Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970's. While other companies can copy our systems, infrastructure and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today's global marketplace.

Equity, Opportunity & Diversity (EO&D)

Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness, and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all aspects in the job description as you could be exactly who we need for this or another opportunity.

We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, or any other characteristic protected under international and national laws and regulations. We reasonably accommodate team members and third parties to ensure equal access, inclusion, and fairness across all protected characteristics.

Employment Type: FULL_TIME