Lead Data Scientist

BMW Group; Columbus (OH); Hybrid; USD 54,000 - 109,000; Full time

Job summary

A leading company in the automotive industry is looking for a Lead Data Scientist to drive AI solutions and data strategies. The position involves deep collaboration with stakeholders to develop models that contribute to business success. Ideal candidates should have substantial experience in data science, including statistical analysis, machine learning, and the ability to communicate complex ideas clearly to non-technical audiences. Join BMW Group and shape the future of mobility.

Benefits

Medical, Dental, and Vision insurance

401(k) with Company match

Employee vehicle program

Generous PTO and Company paid holidays

Voluntary Benefits to fit your needs

Qualifications

• 5+ years of experience as a data scientist in a corporate setting.
• Experience with data analysis, machine learning algorithms, and predictive models.
• Bachelor's degree in a quantitative field preferred.

Responsibilities

• Lead analytical projects and manage end-to-end implementation.
• Use data mining techniques to identify trends and anomalies.
• Mentor other data-focused roles across the organization.

Skills

Data Analysis

Machine Learning

Data Storytelling

Statistical Analysis

Programming in Python

Education

Bachelors in statistics, computer science, economics, or engineering

Tools

AWS

Azure

SQL

Tableau

Jupyter

Data Robot

SAS

Job description

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Lead Data Scientist

ARE YOU PREPARED FOR THE FUTURE? AI, AI SER!

SHARE YOUR PASSION.

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like autonomous driving. But it takes real thought leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good. And that’s where you come in.

BMW Shared Services is posting this position on behalf of BMW Financial Services NA, LLC.

BMW Financial Services NA, LLC was established in 1993, supporting the sales and marketing of BMW products. Subsequently, we have expanded beyond the leasing, retail and commercial financing of a traditional captive-finance company offering a broad variety of products tailored for the BMW, MINI and Rolls-Royce customer. Be a part of our exciting growth by expressing an interest in our Lead Data Scientist position located in Columbus, OH.

As a Lead Data Scientist you will be responsible for data discovery and building predictive models utilizing machine learning algorithms. The Lead Data Scientist will use a variety of data mining/data analysis methods and tools to present findings in a format that is straightforward and comprehensible for non-technical stakeholders. This position will also mentor other data focused roles across the company.

WHAT AWAITS YOU.

• Translate business objectives to data science problems and vice versa.
• Lead analytical projects by transforming business requirements into actionable solutions, overseeing the entire project from development to implementation.
• Use a combination of exploratory analysis and data mining techniques to identify and understand trends and anomalies.
• Design, develop and validate predictive, prescriptive models for business use cases, problems utilizing data from multiple data sources and ensure successful adoption of the model by business.
• Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
• Partner with business stakeholders to identify, develop innovative modeling solutions and implement necessary monitoring to deploy models in production.
• Use data storytelling skills to communicate deep technical outcomes from models to non-technical audiences in the organization, while leveraging data driven visuals to enhance the experience.
• Utilize AWS and/or Azure cloud platforms to deploy, manage, and scale AI models and machine learning solutions, ensuring seamless integration with existing infrastructure.
• Serve as the SF2-US Center of Excellence with regards to Data Science standards and processes including training and coaching on techniques and tools.
• Foster model improvement efforts through communication with model users by collecting feedback and discussing it with other experts and management.

WHAT YOU SHOULD BRING.

• Bachelors degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience.
• 5+ years of professional experience as a data scientist or similar in a corporate environment.
• Experience using AI Tools; preferably Jupyter with Python, Data Robot, and SAS.
• Experience using BI Tools; preferably Tableau
• Experience using SQL; preferably Postgres SQL and T-SQL
• 3 years leading agile project delivery for analytical topics
• 3 years in the Financial Services or Automotive Industry (Preferred)

WHAT YOU CAN LOOK FORWARD TO.

• Medical, Dental, and Vision insurance
• 401(k) with Company match and Retirement Income Account
• Employee vehicle program
• Generous PTO and Company paid holidays
• Voluntary Benefits to fit your needs

Relocation is available for this position.

This is a hybrid role that requires regular attendance in the office.

The expected salary range for this position is $54,300.00 - $108,600.00.

The selected candidate’s education, skills, experience, and location will be used to determine the final salary offer. All pay ranges are based on a full-time work schedule. This statement is in accordance with state and local pay disclosure requirements.

Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.