Senior Data Scientist - Rider Team
Remote
Lime
Go car-free with the world’s largest shared electric vehicle company. Lime is on a mission to build a future where transportation is shared, affordable…Data is at the core of every decision at Lime - from designing vehicles to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Doing our job well means that we enable the entire organization’s ability to make more informed decisions, innovate faster, and serve our customers better. We are looking for an intellectually curious, highly motivated individual to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment. This position is a US based remote position. The individual hired into this role must be comfortable supporting multiple time zones across the globe with primary support to Pacific Time.
What you'll do:
- Build models that help us understand our ridership better - such as user segmentation and LTV prediction.
- Design, instrument, and and measure the success of product lead experiments that help drive business growth.
- Deep dive into our data, create intuitive visualizations, root cause problems, and present actionable insights to a variety of stakeholders.
- Share your knowledge across the company by mentoring others and leveling up our collective technical expertise.
About you:
- MS or PhD in Economics, Statistics, Applied Mathematics, or other quantitative fields
- 3+ years of industry experience as a Data Scientist
- Proficient in SQL and a programming language such as Python
- Hands-on experience with data pipelines and visualization tools
- Deep and practical understanding of probability and statistics, including causal inference
- Solid understanding of Machine Learning algorithms - practical experience building ML models preferred
- Ability to communicate technical concepts to a general audience
- Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment
What We Offer:
- Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions.
- Scale with a rapidly growing organization, with significant opportunity for growth.
- Play a role in the transformation of urban mobility and sustainability.
- Work with a team of successful, fun and motivated people.
- Competitive salary and benefits.
#LI-Remote#LI-AM1
If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
Lime is an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and globally diverse team – which includes individuals with different backgrounds, abilities, identities and experiences.
Tags: Causal inference Data pipelines Economics Engineering Machine Learning Mathematics ML models PhD Pipelines Python SQL Statistics
Perks/benefits: Career development Competitive pay Equity Salary bonus Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs