Data Scientist Advanced Analytics at General Motors

Description
  Hybrid:   This position does not require an employee to be on-site full-time to perform most effectively.  The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.  
 –This position requires an employee to be onsite   1-4 times per year   
 Staff Data Scientist  
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Staff Data Scientist 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 advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.
Responsibilities include the following:
 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   Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems:   Create breakthrough solutions, performing exploratory and targeted data analyses   Build predictive models and machine-learning algorithms   Analyze large amounts of diverse information to discover trends and patterns   Undertake preprocessing of structured and unstructured data   Monitor and sustain model effectiveness   Combine models through ensemble modeling   Present complex information using data visualization techniques     Plan and execute projects, including direction and oversight of technical work of Data Scientists and Senior Data Scientists   Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing   Identify long-term technical innovations and collaborate with the Analytics Research COE   Act as a mentor to junior level Data Scientists and as an expert level resource for the team 
Skills & Qualifications:
 Minimum seven years of experience developing, deploying and monitoring performance of large analytic data sets and statistical forecasting models   Minimum seven years of experience utilizing several of the following toolsets:    Scripting Languages:  Python or R   Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent   Big Data Tools:  Hadoop, Spark, SQL and NoSQL Database experience   Data Visualization:  Tableau, Power BI or similar     Ability to prioritize and manage 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 solve business problems rather than focusing solely on metrics 
Education and Experience:
 PhD. or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field   Preferred academic or work experience in a data-intensive field or industry 
Additional Description
 Required Qualifications:  
  4+ years experience solving analytical problems using quantitative approaches      Comfort manipulating and analyzing sophisticated, high-volume, high-dimensionality data from varying sources, including both structured and unstructured data      The ability to demonstrate proficiency in the following areas: classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, dimension reduction, tensor decomposition and regression, causal inference and etiology      Deep knowledge and experience in geographic information system (GIS) such as GIS data representation, coordinate system projection, geostatistics, geocoding and cartography.      A strong passion for empirical research and for answering hard questions with data      A flexible analytic approach that allows for results at varying levels of precision      Ability to communicate sophisticated quantitative analysis in a clear, detailed, and meaningful manner using data visualization techniques      Proficiency with Python, SQL, and / or R      Experience working with large data sets, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) and Machine Learning pipelines (Spark, DASK, Argo, etc.) a plus      Cultivates open, inclusive culture that supports learning and encourages collaboration.   
 Education:  
  Master's degree, or equivalent experience     PhD preferred in Mathematics, Computer Science, Electrical Engineering, Signal Processing, or related quantitative areas  
 This position may be filled with a mid or senior level candidate.  

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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 at Careers.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.