Data Scientist, Advanced Market Analytics & Modeling

Olympus Corporation of the Americas; Westborough (MA); On-site; USD 122,000 - 171,000; Full time

Benefits offered by this job

Annual bonus

401(k) with match

Employee Assistance Program

Wellbeing programs

Paid vacation & sick leave

Parental leave & adoption assistance

Paid holidays

On-site child daycare

Café on-site

Fitness center

Job summary

Olympus Corporation of the Americas seeks a Data Scientist, Advanced Market Analytics & Modeling, to lead driver-based market models, forecasting, and segmentation using scalable data science and AI techniques. The role sits in the Global Market Analytics & Center of Excellence within MCI&A and partners with stakeholders across functions to translate business needs into actionable analytics.

You will develop standardized analytics processes, deliver global market insights, and provide

Qualifications

• Bachelor’s degree in data science, computer science, analytics, mathematics, engineering, or related disciplines.
• 7+ years of experience in data analysis, data science, or equivalent area; healthcare/medical device experience preferred.
• 7+ years designing, implementing, and interpreting statistical analysis projects including forecasting, segmentation, and multivariate forecasting techniques.
• 5+ years project management experience leading data projects cross-functionally.
• Experience with Python or R and expertise with enterprise data science platforms.
• Experience with AI model planning, implementation, and validation in enterprise environment.
• Advanced Excel skills.
• Ability to transform business problems into data solutions.
• Strong analytical, conceptual, and problem-solving skills.
• Travel <10% (domestic and international).

Responsibilities

• Translate complex business questions into actionable data queries and advanced analytical solutions that support business planning, strategy, and KPI measurement.
• Design, build, and validate driver-based market models, forecasting, and segmentation using scalable data science and AI techniques.
• Develop analytics that support global market models,Join volatility to KPI dashboards and ensure accuracy and impact.
• Leverage external and internal data assets to deliver integrated, driver-based market models and quarterly KPI analysis across units.
• Apply statistical methods and machine learning to uncover actionable insights and support data-driven decisions.
• Collaborate cross-functionally to standardize analytics processes and deliver insights that drive strategic objectives.
• Establish and maintain analytics standards for consistency and quality.
• Advise stakeholders on methodologies and emerging trends.

Skills

Python or R

Statistical modeling

Forecasting

Market analytics

Data visualization

Project management

Communication

Advanced Excel

Education

Bachelor's degree in data science / CS / analytics / mathematics / engineering

Advanced degree preferred

Tools

Enterprise data science platforms

Job description

Data Scientist, Advanced Market Analytics & Modeling

Working Location:Massachusetts, Westborough; Nationwide; Pennsylvania, Center Valley

Workplace Flexibility:Hybrid

For more than 100 years,Olympus has focused on making people’s lives healthier, safer and more fulfilling.

Every day, we live by our philosophy,True to Life, by advancing medical technologies and elevating the standard ofpatient care so people everywhere can fulfill their desires, dreams, and lives.

Our five Core Values empower us to achieve Our Purpose:

Patient Focus, Integrity, Innovation, Impact and Empathy.

The Data Scientist, Advanced Market Analytics & Modeling will reside within the Global Market Analytics & Center of Excellence function, part of the overall Global Competitive, Market Intelligence & Analytics (MCI&A) team.

The candidate will be an expert in advanced market analytics and modeling, designing and executing sophisticated analytics using key market drivers as inputs into critical market sizing and models that support business planning, strategy, innovation, and KPI measurement of Olympus business and financial performance against market growth and competition.

This role will lead the development of driver-based market models, forecasting, and segmentation using scalable data science and AI techniques within a centralized workstream. The approach will efficiently integrate drivers such as procedure volumes, epidemiology, macroeconomics, market data, reimbursement trends, product launches, and business assumptions. The candidate will create scalable analytics across business units, fully leveraging both external and internal data assets for integrated, driver-based market models and quarterly market KPI analysis.

The candidate will collaborate with stakeholders both within MCI&A and cross-functionally to define and translate business needs into analytical terms, develop and implement advanced analytical solutions, establish standardized analytics processes, and provide data analytics and actionable insights to business support.

Job Duties

• Serve as a technical analytics expert: Translate complex business questions into actionable data queries and advanced analytical solutions that directly support business planning, strategy, innovation, and KPI measurement.
• Lead development of driver-based market models: Design, build, and validate sophisticated market models, forecasting, and segmentation using scalable data science and AI techniques, integrating key market drivers such as procedure volumes, epidemiology, macroeconomics, market data, reimbursement trends, product launches, and business assumptions.
• Execute advanced analytics initiatives: Develop and implement analytics that support critical business products, including global market models, procedure volume analytics, epidemiology analytics, and market KPI dashboards, ensuring accuracy, reliability, and business impact.
• Create scalable analytics solutions: Leverage both external and internal data assets to deliver integrated, driver-based market models and quarterly market KPI analysis across business units.
• Conduct deep-dive analyses: Apply statistical methods and machine learning (supervised and unsupervised) to uncover actionable insights, recommend strategies for continuous improvement, and support data-driven decision-making.
• Collaborate cross-functionally: Work closely with stakeholders within Market Intelligence & Analytics and across functions to define business needs, standardize analytics processes, and deliver insights that drive strategic objectives.
• Establish and maintain analytics standards: Develop and implement standardized analytics processes to ensure consistency, quality, and scalability of analytical solutions.
• Provide expert consultation: Advise stakeholders on market analytics methodologies, best practices, and emerging trends, supporting the organization’s continuous learning and proactive problem-solving culture.
• Deliver high-quality results: Demonstrate commitment to excellence, adaptability, and proactive problem-solving in a dynamic, fast-paced environment.

Job Qualifications

Required:

• Bachelor’s degree in data science, computer science, analytics, mathematics, engineering, or related disciplines. Advanced degree a plus.
• Minimum of 7 years of experience in data analysis, data science, or equivalent area; preferably in the healthcare, medical device, or life sciences.
• Minimum of 7 years of experience designing, implementing, and interpreting statistical analysis projects including forecasting, segmentation, and multivariate forecasting techniques.
• Minimum of 5 years project management experience in leading data projects cross-functionally.
• Experience with Python or R and expertise with enterprise data science platforms.
• Experience with AI model planning, implementation, and validation in enterprise environment.
• Advanced Excel skills.
• Ability to understand technical and clinical needs.
• Ability to transform business problems into data solutions.
• Strong analytical, conceptual, and problem-solving skills.
• Demonstrated experience for developing data capability for complex projects.
• Self-motivated, high commitment and dedication with proactive mind-set.
• Outstanding written and verbal communication (incl. PowerPoint, presentation skills).
• Detail oriented and high-quality deliverables.
• Project management skills and the ability to multitask with detailed follow-through on deadlines.
• Strong interpersonal and relationship building skills.
• Ability to successfully work with cross-functional teams.
• Travel <10% (domestic and international).

We offer a holistic employee experience supporting personal and professional well-being through meaningful work, equitable offerings, and a connected culture.

Equitable Offerings you can count on:

Competitive salaries, annual bonus and 401(k)* with company match

24/7 Employee Assistance Program

Free live and on-demand Wellbeing Programs

Generous Paid Vacation and Sick Time

Paid Parental Leave and Adoption Assistance*

12 Paid Holidays

On-Site Child Daycare, Café, Fitness Center**

Connected Culture you can embrace:

Work-life integrated culture that supports an employee centric mindset

Offers onsite, hybrid and field work environments

Paid volunteering and charitable donation/match programs

Employee Resource Groups

Dedicated Training Resources and Learning & Development Programs

The anticipated base pay range for this full-time position in this location is$122,362.00-$171,307.00/ year, plus potential for annual bonus(subject toplan eligibility andother requirements).

Olympus considers a variety of factors when determining actual compensation for this position, including level of experience, working location, and relevant education and certifications.

At Olympus, we are committed to Our Purpose of making people’s lives healthier, safer and more fulfilling. As a global medical technology company, we partner with healthcare professionals to provide best-in-class solutions and services for early detection, diagnosis and minimally invasive treatment, aiming to improve patient outcomes by elevating the standard of care in targeted disease states.

For more than 100 years, Olympus has pursued a goal of contributing to society by producing products designed with the purpose of delivering optimal outcomes for its customers around the world.

Headquartered in Tokyo, Japan, Olympus employs more than 31,000 employees worldwide in nearly 40 countries and regions. Olympus Corporation of the Americas, a wholly owned subsidiary of Olympus Corporation, is headquartered in Center Valley, Pennsylvania, USA, and employs more than 5,200 employees throughout locations in North and South America. For more information, visit www.olympusamerica.com .

You Belong at Olympus

We are deeply committed to fostering a respectful, fair, and welcoming workplace for all individuals, perspectives, and lifestyles. We believe in fostering a non-discriminatory, inclusive work environment where everyone feels a sense of belonging, in full compliance with legal standards. Empathy and unity are core to our company culture, empowering employees to contribute fully and flourish. We warmly encourage all who wish to bring their talents to Olympus to apply.

Applicants Requesting Accommodations: Olympus is committed to the full inclusion of all qualified individuals. As part of this commitment, Olympus will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact [e-mail]. If your disability impairs your ability to email, you may call our HR Compliance Manager at 1-888-Olympus (1-888-659-6787).

Let’s realize your potential, together.

It is the policy of Olympus to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin (including language use restrictions), citizenship status, religious creed (including dress and grooming practices), age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law.