Sr Analyst- Voice of the Customer/Ontologist
General Motors

Job Info

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About GM

There's never been a more exciting time to work for General Motors.

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won't happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why Work for Us

Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.

Job Description

This is a remote position; the selected candidate can reside and perform the work from anywhere within the United States.

About The Applied Analytics CoE (Center of Excellence) team:

The team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. You will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both sophisticated analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas.

Summary of the Role:

As a Sr Analyst- Voice of the Customer/Ontologist, you will be responsible for ontology and text classifier model development, validation, and maintenance to make text mining and text searches more accurate and efficient. You will facilitate ontology and text classifier development by working with customer experience, marketing, engineering, and other internal partners. You will also detect themes and language patterns using unsupervised machine learning methods and data analysis.

Are you driven and passionate about building ontologies, detecting language patterns, and text analytics?

Can you lead with our vision for the future?

Come be part of an industry whose vision is to change the future of mobility.

Responsibilities

• Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units
  
• Lead ontology and text classifier model development, validation, and maintenance to make text mining and text searches more accurate and efficient.
  
• Capture input from internal partners to define text classifiers and supporting taxonomies
  
• Analyze large amounts of data using unsupervised machine learning methods via existing tools or development of new models to discover themes and language patterns
  
• Assess accuracy (precision/recall) of text classifiers to instill confidence in classifier usage; improve classifiers based on accuracy assessments on an on-going basis
  
• Supervise and sustain model efficiency by working with vendor resources and ground truth readers
  
• Undertake preprocessing of text data as needed
  
• Develop and support ontology processes (governance, prioritization, auditing, version control, deployment, etc.)
  
• Work with cross-functional teams and vendors to develop ontology strategy and implementation
  
• Present sophisticated information to diverse audiences, which may include using data visualization techniques
  
• Plan and execute projects, including direction and oversight of technical work of other analysts
  
• Work with diverse technical teams and provide data and analytic oversight to ensure project results fulfill business needs and timing
  
• Identify long-term technical innovations and collaborate with the Analytics Research CoE
  

Additional Job Description
Qualifications

• 2+ years of professional experience developing ontologies using ontology management tools and/or programming language such as Python
• Prior experience with NLP (Natural Language Processing) techniques for processing unstructured data (e.g., speech recognition, part-of-speech tagging, tokenization)

Desired Skills

• Prior experience utilizing several of the following data and analytics toolsets:
• Languages: Python, R, Spark Scala, SAS
• Big Data Tools and Databases: Hadoop, Teradata, Spark, Kafka, Sophisticated SQL and NoSQL including Postgres and Cassandra
• Data Visualization: Tableau, SAS, JMP or similar
• Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics
• Ability to prioritize and balance multiple tasks and projects at once without sacrificing quality
• Strong listening and communications skills
• Highly collaborative work style
• Ability to evaluate the big picture and tackle business problems rather than focusing solely on metrics

Education:

• Master's degree in Linguistics, Computer Science, Library/Information Science, or related field, or equivalent practical experience

Please only apply if you DO NOT need sponsorship to work in the Unites States now or in the future. We are unable to consider candidates who require sponsorship.

Compensation: The median level of salary compensation for this role is $122,673.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-Remote #GM-Remote

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us atCareers.Accommodations@GM.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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