Data Scientist

Job Description

We are looking for a Senior Data Scientist to support Ford Customer Service Analytics. A successful candidate must have experience in data visualization, statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of service operations, repair processes, or customer experience analytics.

This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. – We value being Smart. Nice. Curious. Communicative.

Responsibilities

Acquire deep understanding of customer service operations and translate them into appropriate analytical frameworks

Work with large and small, complex data sets using tools such as BigQuery,Dataform, SQL, Python,etc

Build dashboards and visualization tools (e.g., Power BI, Qlik Sense)

Contribute and review code for our code base in GitHub

Make sense of, clean, and assess validity and completeness of data from service visits, repair orders,dealer ops and customer interactions

Deliver insights, models, and tools using statistical analysis, data validation, machine learning, algorithm design, and feature engineering

Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership

Interact and work cross-functionally with business partners, data stewards, and service operations teams

Develop trust with stakeholders and peers by delivering results on time

Ensure overall quality of the data and solutions throughout the development process

Provide training and maintenance of implemented tools to business partners

Collect feedback from business users and continuously improve analytic products

Mentor more junior data scientists by being a role model and advisor on the above tasks

Find areas to lead and innovate as a Senior Data Scientist on the team

Qualifications

Bachelors degree in Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Operations Research or similar technical field or a related quantitative discipline

Potential candidates should possess 5-7 years of working experience as a Data Scientist.

5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data

5+ years of experience using Python, SQL or BigQuery and data visualization tools

Comfortable working in an environment where problems are not always well-defined

Inquisitive, proactive, and interested in learning new tools and techniques

Proven quantitative modeling and statistical analysis skills

Additional preferred requirements:

Masters in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field

Knowledge of service operations, customer experience analytics, or automotive aftermarket

Experience deploying Machine Learning in production (ideally MLOps) for internal or external use

Experience with Google Cloud Platform (GCP) or other cloud systems

Strong oral, written and interpersonal communication skills

Ability to effectively advocate technical solutions to peer, management and business audiences