63 Data Scientist Jobs in Austin, TX
Habitat Energy is Hiring a Data Scientist Near Austin, TX
Job Description
Habitat Energy – Data Scientist US (Experienced)
At Habitat Energy we bring together exceptionally talented and passionate people in the domains of data science, software engineering and energy trading alongside an in-depth understanding of flexible energy assets. Our aim is to maximise the value of grid-scale battery storage, so they are attractive investments, are deployed at scale and enable the energy transition.
We are looking for smart, motivated people to join our team who share our belief that we can outperform the energy sector dinosaurs, have a positive impact on the planet and have fun doing it together.
We have a vacancy for an experienced Data Scientist to join our team. You will be working on the development of our renewables trading platform in the US:
- Lead the development and productionization of our renewables trading (DA optimisation of virtual and asset backed DART etc.)
- Closely collaborate with the commercial and business development team on aligning models with market and client needs
- Bringing an experimental mindset, prototyping and developing with the right model for the job.
We’re looking for someone who is a great fit for our company. We want people who take accountability, build trust and are innovative. We encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.
Requirements:
- You have at least 3 years of commercial experience developing and productionising real-time projects in Machine Learning and Data Science.
- Experience with short term US power markets
- Experience building algorithmic decision tools (e.g. mixed-integer linear programming, CVXPY).
- You have experience bringing your creative output to support development of quarterly product roadmaps.
- You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.).
- You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field.
- Version control code (Git) including dev, test and production environments.
Extra credit if you can demonstrate:
- Experience trading virtual and/or asset-backed positions in one or more major US Power Market (ideally ERCOT)
- Electricity & energy domain modelling (e.g. power systems modeling, power flow, security constrained unit commitment etc.)
- Full-stack / machine learning engineering / data engineering experience
- Experience with forecasting & time series problems
- Experience with data visualization and dashboarding technologies (e.g. plot.ly, Dash, Streamlit)
- Demonstrated track record of academic paper (NeurIPS, ICLR, ICML; and/or papers on power systems, optimization or other related topics)
- AWS, terraform, continuous integration, monitoring and alerting.
- MS or PhD degree in Computer Science, Machine Learning, or related technical field.
In return, we’ll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our offices in Austin.
When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information in our candidate privacy policy, here.
Job Summary
Full Time
$107k-132k (estimate)
06/27/2024
07/11/2024
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.
