Job type remote
Benefits pulled from the full job description
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Full job description
Job description & qualifications
At ford motor company, we believe freedom of movement drives human progressWe also believe in providing you with the freedom to define and realize your dreamsWith our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.
Ford pro is a new global business within ford committed to commercial customer efficiencyFord pro delivers a work-ready suite of vehicles, accessories, and services for virtually every vocation, backed by technology, and engineered for uptimeA true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles crafted to integrate seamlessly with the ford pro ecosystem, helping customers` businesses thrive today and into the new era of electrification.
We are seeking expert data scientists to add to our team to drive the next generation of commercial businessData scientists work in a product management delivery model working end-to-end with business managers, product owners, product designers, data engineers, software developers to deliver next-gen analytics innovation.
What you’ll be able to do:
As a data scientist, you will formulate approaches to solve problems using well-defined algorithms and data sourcesYou will incorporate an understanding of product functionality and customer perspective to provide context for those problemsYou will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the dataSuccessful data scientists will interpret the results of their analysis, validate their approach, and learn to supervise, analyze, and iterate to continuously improveYou will engage with peer customers to produce clear, compelling, practical output that influence product and service improvementsThe form of these processes will vary within smart mobility based on the customer area, the type of technology in use, and the complexity of product integration.
Roles & responsibilities:
Critical thinking: able to influence the strategic direction of the company by finding opportunities in large, rich data sets and creating and implementing data driven strategies that fuel growth including cost savings, revenue, and profit.
Modeling: assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using edge algorithms on diverse sources of data and testing and validation of models.
Analytics: use analytical applications like r, python, alteryx, arcgis to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into business strategies or analytics software.
Data engineering: experience with creating etl processes to source and link data in preparation for model/algorithm developmentThis includes domain expertise of data sets in the environment, third-party data evaluations, data quality
Visualization: create visualizations to connect disparate data, find patterns and tell engaging storiesThis includes both scientific visualization as well as geographic using applications such as qliksense.
The minimum requirements we seek:
Bachelor’s degree in computer science, data science, analytics, statistics or related field or a combination of education and equivalent experience.
2+ years of experience of statistical methods and their proper application e.g., principal component analysis, correspondence analysis, k-means cluster analysis, factor analysis, multi-variate analysis, data modeling, linear regressions, non-linear regressions, partial least squares techniques.
2+ years’ experience with python, sql, cloud (preferably gcp).
2+ years’ experience working in a multi-functional, agile product team environment/analytic delivery team.
Our preferred requirements:
Master’s degree in computer science, data science, analytics, statistics or related field or a combination of education and equivalent experience.
2+ years of experience in automotive, transportation, digital business, or analytics consulting.
2+ years executive presentation preparation and delivery.
2+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations.
5+ years of experience using ms-office (excel, powerpoint, onenote).
Expert level of sophisticated and predictive analytical methods e.g., simulation, design of experiments, ensemble methods, naïve bayes, neural networks, support vector machines, interaction effects, importance modeling, machine learning, regression, linear or mixed integer optimization.
Expertise in open-source data science technologies such as r, spark,, hadoop, etcAcquired through college course work, online training and certification or project development.
Demonstrated expertise in commercial tools such as alteryx, qlikview, and tableau acquired through training and/or implementation on projects
Self-motivated with excellent verbal and written skills.
Ability to work under stress, establish priorities and respond with urgency.
Highly credible in organizational, time management, decision making and problem-solving skills.
Familiarity working with automotive oem/ ford connected vehicle data & relevant infrastructure.
Familiarity working with big data to develop scalable, production-ready solutions.
What you’ll receive in return:
As part of the ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous pto, retirement, savings and stock investment plans, incentive compensation and much moreYou’ll also experience exciting opportunities for professional and personal growth and recognition.
If you have what it takes to help us redefine the future of mobility, we’d love to have you join us.
Candidates for positions with ford motor company must be legally authorized to work in the united statesVerification of employment eligibility will be required at the time of hire.
Visa sponsorship is available for this position.
We are an equal opportunity employer committed to a culturally diverse workforceAll qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
At ford, the health and safety of our employees is our top priorityVaccination has been proven to play a critical role in combating covid-19As a result, ford has made the decision to require u.sSalaried employees to be fully vaccinated against covid-19, unless employees require an accommodation for religious or medical reasonsBeing fully vaccinated means that an individual is at least two weeks past their final dose of an authorized covid-19 vaccine regimenAs a condition of employment, newly hired employees will be required to provide proof of their covid-19 vaccination or an approved medical or religious exemption.
For information on ford’s benefits and compensation, click here:
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