Job Information
Revel Data Scientist - EV Charging Infrastructure in New York, New York
About Revel
Revel's mission is to accelerate EV adoption in cities by providing the infrastructure and services that make it easy to go electric. Revel operates the nation's first all-electric rideshare service, which delivers thousands of rides across New York City every day. Revel is also the leading public fast charging provider in New York, with stations in Manhattan, Brooklyn and Queens, and more on the way. Founded in Brooklyn in 2018, Revel first began as a shared electric moped platform and has since grown to be a top partner for big cities pursuing an electric vehicle future — first in New York, with other markets to come soon.
Our Operating Principles
Revel’s Operating Principles represent who we are, how we act, and what we believe. They define our culture.
Empathy. We seek to understand the experiences and perspectives of each other, our customers and the communities where we operate.
Ownership. We are excited by big challenges and care deeply about our work. We empower and rely on each other and hold ourselves to a high standard.
Humility. We take our work seriously but not ourselves. We’re approachable, curious, and know we have a lot to learn.
Adaptability. We expect change and quickly adjust our approach to reflect new information. We know success requires seeing opportunity in obstacles and relentlessly improving.
Simplicity. We clarify and prioritize what can be done now. We strive to keep things no more complicated than absolutely required.
Title : Data Scientist - EV Charging Infrastructure Location : NYC-Based
About the Role
We’re looking for an experienced Data Scientist who can lead the development of predictive models and analytical tools used for decision making within our EV Charging Infrastructure business line. This role will work cross-functionally with multiple teams to drive growth and efficiency, including Product, Engineering, Charging Operations and Business.
Responsibilities
Lead Data Science initiatives to guide strategic and operational decisions for EV Infrastructure expansion and Charging Operations
Iterative development of our existing models and tools currently used for Charging Operations, Site Selection and New Market Sizing.
Build dashboards and conduct analytics to support pricing and charging efficiency related initiatives. Translation of data / insights into meaningful and actionable recommendation to business leads across the organization
Building deep knowledge of internal & external data sources. Use this knowledge to enhance and iterate on current models and tools.
Technical Requirements
Must have 3+ years experience working as a Data scientist/Data analyst
Proficient in SQL and either Python or R
Knowledge of a variety of statistical techniques, including regression, time series forecasting, machine learning, A/B testing and their advantages and drawbacks
Proficient in processing and analyzing geospatial data
Experience with data visualization tools such as Mode, Looker, Tableau etc.
Nice to Haves:
Experience in the EV Charging, Transportation or Energy industry
Familiarity with AWS services such as S3, EC2 and Redshift
Experience with Postgres / Snowflake databases
Familiarity with GitHub or other version control software tools
Non-Technical Requirements
You are self-driven and enthusiastic about the company vision, our product and the underlying mathematical problems we are solving
Strong written and verbal communication skills. Ability to summarize key findings into clear and actionable recommendations, and to interact with individuals at all levels
Strong project management skills and ability to plan and prioritize work in a fast-paced environment
You take your work seriously but not yourself
Compensation and Benefits
Base compensation range of $120k-$150k per year, based on experience level. Our benefits package includes:
Stock Options
Discounted Rideshare rides
Medical, Dental, Vision
401k
Life insurance
Unlimited Vacation/PTO
Revel is an equal opportunity employer. All facets of employment including the decision to hire, promote, discipline, or release, will be based on merit, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
https://www.cigna.com/legal/compliance/machine-readable-files. This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.