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Principal AI Data Science Engineer, Go-To-Market

Northridge, California, United States of America

Live, first seen by us 18 days ago
Pay
Multiple pay amounts — pay source
At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life. Salary ranges for U.S (excl. PR) locations (USD):$138,000.00 - $234,000.00For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $153,000 - $261,000 USD. This position is eligible for a short-term incentive called the Short Term Incentive (STI).
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

As Principal AI Data Science Engineer, Go-to-Market Analytics, you will apply statistical modeling, machine learning, and forecasting to customer, market, and commercial data.

This role is based at our Northridge, CA headquarters and requires on-site work four days per week.

  • Develop, validate, and maintain predictive models and forecasts for growth and revenue

  • Own customer targeting, prioritization, and tiering methods

  • Quantify market opportunities and business impact for investment decisions

  • Turn analysis into recommendations on resource allocation, launches, and territories

  • Build early-warning intelligence on underperforming accounts and commercial risks

From the employer’s posting
As Principal AI Data Science Engineer, Go-to-Market Analytics, you will apply statistical modeling, machine learning, and forecasting to customer, market, and commercial data. Your work will inform customer targeting, territory design, product launches, resource allocation, and growth planning across MiniMed. You will partner with commercial leaders to translate complex analysis into clear, actionable decisions.
This role is based at our Northridge, CA headquarters and requires on-site work four days per week. Key Responsibilities
Develop, validate, monitor, and maintain predictive models and forecasts that assess growth opportunities, revenue potential
Own customer targeting, prioritization, and tiering methodologies
Quantify market opportunities and evaluate business impact to support investment decisions
Translate analytical findings into recommendations that guide resource allocation, launch planning, territory design
Build early-warning intelligence to identify underperforming accounts

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree and at least 7 years of relevant experience, or an advanced degree and at least 5 years of relevant experience.
  • Experience using AI-enabled tools to accelerate analytical workflows, including data investigation, automation, dashboard development, data visualization, or insight generation.
  • Proficiency in Python, R, or a similar programming language, with experience applying statistical or machine learning methods to large, complex datasets and business problems.
  • Experience using SQL and modern analytics environments, including dbt, cloud data warehouses, and data visualization platforms.

Preferred experience

  • Master’s degree or PhD in data science, analytics, statistics, or another relevant quantitative discipline.
  • Experience applying natural language processing techniques to business problems.
  • Experience deploying and maintaining analytical or machine learning models in cloud environments, including knowledge of MLOps practices such as version control, testing, monitoring, and model governance.
  • Experience in the medical technology, medical device, or healthcare industry, particularly using customer, provider, market, or sales data to inform commercial strategy.
Qualification wording
Bachelor’s degree and at least 7 years of relevant experience, or an advanced degree and at least 5 years of relevant experience.
Experience using AI-enabled tools to accelerate analytical workflows, including data investigation, automation, dashboard development, data visualization, or insight generation.
Proficiency in Python, R, or a similar programming language, with experience applying statistical or machine learning methods to large, complex datasets and business problems.
Experience using SQL and modern analytics environments, including dbt, cloud data warehouses, and data visualization platforms.
Master’s degree or PhD in data science, analytics, statistics, or another relevant quantitative discipline.
Experience applying natural language processing techniques to business problems.
Experience deploying and maintaining analytical or machine learning models in cloud environments, including knowledge of MLOps practices such as version control, testing, monitoring, and model governance.
Experience in the medical technology, medical device, or healthcare industry, particularly using customer, provider, market, or sales data to inform commercial strategy.
Education & alternatives
Minimum Qualifications - Bachelor’s degree and at least 7 years of relevant experience, or an advanced degree and at least 5 years of relevant experience. - At least 5 years of experience in data science, analytics, business analytics, operations analytics, customer analytics, insights, or a related field, including ownership of complex, cross-functional initiatives.
Preferred Qualifications - Master’s degree or PhD in data science, analytics, statistics, or another relevant quantitative discipline. - Experience applying natural language processing techniques to business problems.

About Minimed

Learn more about our business, and our mission here.

In the employer’s words · Read in context

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Posting record

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Status in our records
Live
First seen by us
Oct 17, 202618 days ago
Recorded sightings
42
Last seen by us
Nov 4, 2026

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How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 18

Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Minimed is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

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  • Python
  • R
  • SQL
  • dbt
Where the posting names them
- Experience using AI-enabled tools to accelerate analytical workflows, including data investigation, automation, dashboard development, data visualization, or insight generation. - Proficiency in Python, R, or a similar programming language, with experience applying statistical or machine learning methods to large, complex datasets and business problems. - Experience using SQL and modern analytics environments, including dbt, cloud data warehouses, and data visualization platforms.
- Proficiency in Python, R, or a similar programming language, with experience applying statistical or machine learning methods to large, complex datasets and business problems. - Experience using SQL and modern analytics environments, including dbt, cloud data warehouses, and data visualization platforms. Preferred Qualifications

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

We anticipate the application window for this opening will close on - 9 Nov 2026

At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.

About the Role

As Principal AI Data Science Engineer, Go-to-Market Analytics, you will apply statistical modeling, machine learning, and forecasting to customer, market, and commercial data. Your work will inform customer targeting, territory design, product launches, resource allocation, and growth planning across MiniMed. You will partner with commercial leaders to translate complex analysis into clear, actionable decisions.

This role is based at our Northridge, CA headquarters and requires on-site work four days per week.

Key Responsibilities

  • Develop, validate, monitor, and maintain predictive models and forecasts that assess growth opportunities, revenue potential, customer behavior, market dynamics, and competitive threats.
  • Own customer targeting, prioritization, and tiering methodologies to focus commercial resources on the highest-value opportunities.
  • Quantify market opportunities and evaluate business impact to support investment decisions and strategic initiatives.
  • Translate analytical findings into recommendations that guide resource allocation, launch planning, territory design, and growth priorities.
  • Partner with commercial leaders to improve forecasting accuracy and growth planning using historical performance, market trends, and leading indicators.
  • Build early-warning intelligence to identify underperforming accounts, competitive share shifts, territory opportunities, market changes, adoption trends, and emerging commercial risks.
  • Establish and maintain analytical methodologies that are accurate, explainable, well documented, and responsive to changing market conditions.

Minimum Qualifications

  • Bachelor’s degree and at least 7 years of relevant experience, or an advanced degree and at least 5 years of relevant experience.
  • At least 5 years of experience in data science, analytics, business analytics, operations analytics, customer analytics, insights, or a related field, including ownership of complex, cross-functional initiatives.
  • Experience using AI-enabled tools to accelerate analytical workflows, including data investigation, automation, dashboard development, data visualization, or insight generation.
  • Proficiency in Python, R, or a similar programming language, with experience applying statistical or machine learning methods to large, complex datasets and business problems.
  • Experience using SQL and modern analytics environments, including dbt, cloud data warehouses, and data visualization platforms.

Preferred Qualifications

  • Master’s degree or PhD in data science, analytics, statistics, or another relevant quantitative discipline.
  • Experience applying natural language processing techniques to business problems.
  • Experience deploying and maintaining analytical or machine learning models in cloud environments, including knowledge of MLOps practices such as version control, testing, monitoring, and model governance.
  • Experience in the medical technology, medical device, or healthcare industry, particularly using customer, provider, market, or sales data to inform commercial strategy.
  • Experience developing, validating, monitoring, and interpreting predictive models or forecasts, and translating outputs into actionable business recommendations.
  • Experience applying analytics to commercial challenges such as customer segmentation and targeting, revenue forecasting, market opportunity sizing, or resource allocation.
  • Experience managing the analytical lifecycle from problem definition and data preparation through implementation, documentation, performance monitoring, and stakeholder communication.
  • Ability to communicate complex technical findings as clear, actionable recommendations for business leaders and cross-functional stakeholders.
  • Ability to work independently and exercise sound judgment regarding data quality, privacy, responsible AI use, and model limitations.
  • Ability to adapt quickly in a fast-paced, evolving environment as priorities and business needs change.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

Benefits & Compensation

MiniMed offers a competitive salary and flexible benefits package

At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life.

Salary ranges for U.S (excl. PR) locations (USD):$138,000.00 - $234,000.00

For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $153,000 - $261,000 USD.


 

This position is eligible for a short-term incentive called the Short Term Incentive (STI).

At MiniMed, we are committed to supporting the well-being and financial security of our employees. Regular employees working 20 or more hours per week are eligible for a robust benefits package, including health, dental, and vision insurance, as well as access to a Health Savings Account, Healthcare Flexible Spending Account, life insurance, long-term disability leave, and a dependent daycare spending account. In addition, all regular employees enjoy incentive plans, a 401(k) plan with company match, short-term disability coverage, paid time off and holidays, participation in our Employee Stock Purchase Plan, and access to our Employee Assistance Program. Eligible employees may also benefit from our Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements. Please note that “regular employees” refers to those who are not temporary staff, such as interns, and some benefits may not apply to employees in Puerto Rico.

For further details about our comprehensive benefits, we encourage you to visit the link below.

MiniMed Benefits Overview

About MiniMed

MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey — when and how they need it. For more than 40 years, we’ve been committed to redefining what’s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it’s needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes.

 

Learn more about our business, and our mission here.

 

It is the policy of MiniMed to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, familial status, membership or activity in a local human rights commission, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, MiniMed will provide reasonable accommodations for qualified individuals with disabilities.

 

If you are applying to perform work for MiniMed in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which MiniMed reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. MiniMed will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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Pay
At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life. Salary ranges for U.S (excl. PR) locations (USD):$138,000.00 - $234,000.00For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $153,000 - $261,000 USD. This position is eligible for a short-term incentive called the Short Term Incentive (STI).
Location & working pattern

Northridge, California, United States of America

As Principal AI Data Science Engineer, Go-to-Market Analytics, you will apply statistical modeling, machine learning, and forecasting to customer, market, and commercial data. Your work will inform customer targeting, territory design, product launches, resource allocation, and growth planning across MiniMed. You will partner with commercial leaders to translate complex analysis into clear, actionable decisions. This role is based at our Northridge, CA headquarters and requires on-site work four days per week. Key Responsibilities - Develop, validate, monitor, and maintain predictive models and forecasts that assess growth opportunities, revenue potential, customer behavior, market dynamics, and competitive threats.
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