Applied Researcher

Ford • Palo Alto, CA

9h

About The Position

Critical Thinking: Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting 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 advanced algorithms on diverse sources of data and testing and validation of models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, neural networks, etc. Data Expert: Experience successfully going cold into datasets and have a process to understand, clean, and format the data. Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, and data quality. Partner with data engineering to deliver quality code and models at scale for millions of vehicles. Storytelling: Understand and communicate mathematical solutions as business problems solutions to product and non-technical partners. Technical leadership: Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship and establishing team wide best practices. Able to read and implement latest paper developments in AI/ML research to solve practical problems. Established and active employee resource groups Established and active employee resource groups

Requirements

• Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering or equivalent.
• 3+ years of experience of practicing statistical methods and applied research e.g. time series analysis, neural networks, GANs, Gaussian regression, experimentation, causal inference, etc.
• 3+ years' experience with Python, Pandas, Git, Jira (or equivalent), SQL, Cloud platforms.
• 3+ years' Experience with cloud platforms such as GCP (preferred), Azure Data Lake, GCP Big Query, Databricks, Spark, SQL and NO-SQL databases, etc.
• PhD degree in Computer Science, Mathematics, Physics, Engineering or related field or a combination of education and equivalent experience.
• Demonstrated successful application of analytical methods and machine learning techniques with measurable impact on product/design/business/strategy.
• Expert in Python, Pyspark, Pandas, GCP.
• Self-motivated with excellent verbal and written skills.
• Highly credible in organizational, time management, decision making and problem-solving skills.
• Familiarity working with big data to develop scalable, production-ready solutions.

Nice To Haves

• Familiarity working with Ford and connected vehicle data and deep knowledge of automobiles, connected vehicle data & relevant infrastructure.

Responsibilities

• Influence the strategic direction of the company by finding opportunities in large, rich data sets
• Craft and implement data driven strategies that fuel growth including cost savings, revenue, and profit
• Assess and evaluate impacts of missing/unusable data
• Design and select features
• Develop and implement statistical/predictive models using advanced algorithms on diverse sources of data
• Test and validate models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, neural networks, etc.
• Understand, clean, and format data
• Craft ETL processes to source and link data in preparation for Model/Algorithm development
• Partner with data engineering to deliver quality code and models at scale for millions of vehicles
• Understand and communicate mathematical solutions as business problems solutions to product and non-technical partners
• Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship and establishing team wide best practices
• Read and implement latest paper developments in AI/ML research to solve practical problems

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level