Data Scientist, Senior or Staff Level

Data Scientist, Senior or Staff Level At Welligence we're on a mission to transform the energy industry by building the world's leading international data platform. Clients across five continents use our data intelligence to make business critical decisions, perform macro analysis, do granular deep dives on specific opportunities and ultimately increase profits and minimize carbon emissions. In January 2024, Welligence announced a $41 million minority growth investment. We have offices in Austin, Houston, London, Edinburgh and Singapore. We are looking for a senior data scientist to join our Austin-based team. You will be part of an industry-leading group under Head of Data Science, Nitish Goyal, and working closely with Harvard professor and Co-founder, Dr. Seth Neel. Our team is comprised of diverse backgrounds across statistics, computer science and petroleum engineering. What You'll Work On: Time series forecasting and machine learning in R and Python using our proprietary library Data visualizations/dashboards to help clients (energy companies, banks, investors) make informed decisions Forecasting and tracking of carbon emissions into the atmosphere Advising engineering on data quality and architectural decisions You will also gain valuable insight into the energy industry by working with our in-house team of recognized global experts and play a vital role in applying data science to the energy transition. What You Bring: The desire and passion to learn new technical skills and concepts quickly and to push the boundaries of current systems Top-notch communication with stakeholders, clients, your teammates and investors The confidence to ask for help when needed Ability to prioritize work and manage your time Experience writing well-documented, logical, high quality R and Python code Experience manipulating and cleaning large datasets in R, pulling data in SQL and using version control with Git Experience with Unix-like operating systems (Linux, MacOS X) and command line interface Ability to work with disparate data sources (i.e SQL, Parquet, CSV, APIs) 4-5 years of experience in R (RShiny, ggplot2, tidyverse, ggplot2, plotly) Basic familiarity with concepts in machine learning (time series, decision trees, linear regression, clustering) Engineering best practices: git, agile/scrum methodologies, code documentation Experience designing relational databases/ERDs Experience running ML algorithms in AWS or similar platforms Why People Choose Us: Competitive compensation and health benefits Chance to make a real impact in the trillion $ global energy industry Health and dental insurance (US and UK only) Paid time off and holidays Equity options in a well-run and financially stable tech company that has potential for massive upside Education stipend, an emphasis on learning and growing your career 401K retirement plan (US only) Opportunities for growth and rapid advancement Great culture and talented staff Fast-paced environment Collaborative culture Welligence Energy Analytics