Sr. Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Responsibilities

• Analyze engineering data captured in native systems to predict and correct anomalous data
• Develop metrics and statistical models that interpret trends and convert data into insights that improve engineering performance
• Pivotal part of the analytics team centering on engineering data
• Including scripted data cleansing, building predictive models, dashboarding, automating workflows, delivering metrics etc.
• Interface with wider departmental teams applying continuous improvement methodologies to iterate current processes and tools, delivering efficiencies in key areas.
• Consult in key engineering processes, understanding and applying skillset to remove bottlenecks, leading initiatives to reducing time / effort in affecting areas.
• Project manage wider initiatives with business analytics team to ensure delivery of product development requirements within enterprise applications
• Provide matched pair to enterprise IT, the voice for the Product Development function in engineering analytics conversations.
• Develop comprehensive dashboards that enable better decisions on the product and program, at the right time.
• Work with the data engineering team to put the right data infrastructure and models in place to support analytics

Qualifications

• Bachelor’s or master’s degree in Data Science, Statistics, Engineering, Computer Science, descipline or equivalent STEM Subject
• 3+ years of experience in product development or data science with emphasis on building hardware
• Hands on experience in deploying systems, tools, and processes within corporations
• Deep understanding data visualization toolsets such as tableau, powerBI
• Strong understanding of Atlassian products such as Jira & confluence
• Strong statistical programming skills with Python or R
• Strong background in using Python libraries (NumPy, Pandas, scikit-learn, Plotly, etc.)
• Experience in statistical modeling, programming, and manipulating large data sets
• Knowledge of machine learning techniques (regression, simulation, scenario analysis, neural networks, decision tree learning, etc..) and pro/cons on each application and approach
• Strong resilience and work ethic
• Hands-on, open-minded attitude
• Must be comfortable working and collaborating with stakeholders
• Happy when accountable for delivery
• Adventurous and curious mindset
• Collaborative & action driven approach
• Love data & whiteboards