SR. DATA SCIENTIST- COMMERCIAL ENABLEMENT

Sr. Data Scientist- Commercial Enablement

Job Responsibilities

Summary:

The Senior Data Scientist is a pivotal member of the ABB Commercial Enablement team, striving to build an end-to-end commercial ecosystem that drives best-in-class customer experiences informed by data and insights. This position is responsible for analyzing commercial outcomes and providing actionable insights, including customer segmentation, pricing and contracting analytics, and commercial engagement effectiveness. The individual will also develop a market view, delivering scalable analytical solutions that ensure a competitive advantage for ABB. The person in this role will need to be hands on with data with a broad knowledge of data mining algorithms, and the adoption of leading technologies in analytics to get results and identify new opportunities.

Essential Responsibilities include the following. Other duties and special projects may be assigned.

• Understanding business opportunities within ABB business pillars and developing analytical solutions to capture these opportunities and enable profitable growth.
• Partner with commercial teams to turn insights into strategy and deploy solutions successfully.
• Analyzing the effectiveness and efficiency of commercial channels, identifying key drivers and insights to advance the organization’s commercial strategies.
• Crafting and implementing customer-level insights through advanced data models and segmentation strategies.
• Researching standard processes and collaborating with external organizations and partners.
• Remaining at the forefront of analytical capabilities and building internal organizational capabilities.
  
  
  

Supervisory Responsibilities: None

Qualifications

Required Qualifications

• BA/BS in business or related field or equivalent experience in Science, Technology, Engineering, Mathematics, or a related field, such as statistics, operations research, computer science, or mathematics.
• 7 years of experience in data analytics.
• Strong demonstrated understanding of machine learning methods and applied statistical packages as applied to data analysis within open-source scripting languages (e.g. SQL).
• Proven track record of understanding and analyzing large, disparate datasets and transform them into clear business insights.
• Demonstrated familiarity with large datasets and understanding of data analysis workflows.
• Experience delivering data science projects from inception to completion, collaborating across teams.
• Experience with data visualization software (e.g., PowerBI).
• Demonstrated capability in building analytical solutions that scale.
  
  
  

Desired Qualifications

• Masters Degree
• Experience in the Vision Care / Optical industry
  
  
  

For US Candidates

The anticipated base pay range for this position is $83,300 to $111,000.

Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan.

Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, group life insurance, voluntary supplemental life insurance, supplemental health benefits (critical illness, hospital, accident), short- and long-term disability, paid family leave (applicable states), 401k, tuition reimbursement, eyewear discounts.

US employees are eligible for the following time off benefits:

• Vacation and/or Sick time
• Holiday pay
• Birthday PTO
  
  
  

Upon request and consistent with applicable laws, ABB Optical will provide reasonable accommodations to individuals with disabilities who need assistance in the application and hiring process. To request a reasonable accommodation, (be sure to provide your name and contact information so that we may follow up in a timely manner) or email HRFeedback@abboptical.com.

ABB Optical is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.