Senior Data Scientist
Remote
Applications have closed
ReCharge Payments
Overview
The centralized Data Science, Engineering, and Analytics team at Recharge delivers critical analytic capabilities and insights that drive the definition and implementation of our and our merchants’ business strategies. The Data Scientist opportunity is ideal for someone who is passionate about data and wants to build end-to-end machine learning models. You will use customer, merchant, and product data, along with external data sources, and billions of dollars of annual processing data to identify patterns that can allow us to accurately predict consumer behavior across our entire merchant base.
As a Data Scientist, you will be responsible for building models from scratch that will then be deployed into production and integrated with our merchant-facing product. You will work closely with our product, engineering, and analytics team to build products that will empower our merchants to make better decisions and grow their businesses.
What you’ll do
- Live by and champion our values: #day-one, #ownership, #empathy, #humility.
- Design, develop, implement, and optimize models that answer key business questions.
- Build, manage and maintain end-to-end models, including data ingestion, data transformation, feature engineering, predictions, model training, hyperparameter tuning, and model deployment
- Collaborate with product managers to translate business needs into machine learning models and then identify key metrics and baseline performance to evaluate model gains
- Partner with data engineering and feature teams to gather data from a wide array of disparate sources.
- Evaluate, recommend, and implement state-of-the-art tools ensuring effectiveness, scalability, and reliability across the entire machine learning pipeline
- Manage and maintain our deployed models, including detecting model drift, implementing fixes, and improving performance
What you’ll bring
- Typically, 5+ years in a data science related role (Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer) in fast-paced environment
- Track record of building, deploying, and maintaining machine learning models
- Strong proficiency in Python and SQL
- Experience in core mathematical concepts, and core analysis libraries (pandas, seaborn, sklearn, xgboost)
- Basic familiarity with R, or another programming language
- Experience with Tensorflow is a bonus
- Strong communication skills and stakeholder interaction at engineering, product, and analytic team levels
Engineering at Recharge
- Our values set our tone and pace! We make every day count as if it were Day One. Our collective success is driven by our individual Ownership. We communicate with care and Empathy. And we approach every task with a learner's open mind and Humility.
- We look for engineers who have strong coding fundamentals, are pragmatic about getting work done, focus on the customer, understand scale, are adaptable to growth and change, and are self-sufficient enough to thrive in a remote-work environment. Our Engineering Interview Process is designed to focus on these key attributes while giving candidates a candid view into what it’s like to work here.
- Our interview process begins with an informational conversation, followed by one-on-one interviews with cross-functional teammates, and concludes with meeting a technical leader. Teammate sessions include hands-on keyboard technical assessments as well as reviews of relevant projects and career experience.
- Technical challenges make every day a growth experience and leadership opportunity for teammates at all levels. We serve increasingly sophisticated e-commerce merchants who need new, flexible, feature-rich APIs. We process billions of dollars in recurring payments and we continually expand to support new e-commerce platforms, payment types, geographies, currencies, data capabilities, and advanced e-commerce workflows.
- The engineering culture at Recharge is inclusive and people-focused. This focus is on our merchants, their shoppers, and our teammates. We move fast, deliver quality low-risk changes to production multiple times a day, and work with high trust and efficient collaboration.
- Our stack includes: Python, Flask, Redis, Docker, GCP, Terraform, SQLAlchemy, and MySQL
Who we are
Since 2014, Recharge has helped over 15,000 merchants launch and scale their subscription business. Be it a curated monthly box, recurring necessities or access to exclusive perks, Recharge powers billions of dollars in annual processing for nearly 35 million consumers. Our remote-first team of 300+ is building the future of subscription commerce. Come join us on our mission to connect and empower the world through payments.
Recharge | Instagram | Twitter | Facebook
Recharge Payments is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Recharge Payments prohibits any form of workplace harassment.
#LI-Remote
Tags: APIs Docker E-commerce Engineering Feature engineering Flask GCP Machine Learning ML models Model deployment Model training MySQL Pandas Python R Scikit-learn Seaborn SQL TensorFlow Terraform XGBoost
Perks/benefits: Career development Salary bonus
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 Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Engineer jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs