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Data Scientist
Modo Energy Austin, TX
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$108k-133k (estimate)
Full Time 6 Days Ago
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Modo Energy is Hiring a Data Scientist Near Austin, TX

At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our platform, where we provide open access to an array of content on the energy transition.
We're a dedicated and passionate team building a category-defining business, working on one of the world's most important priorities. We are looking for individuals who love product-building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team.
The role
As a Data Scientist at Modo Energy, you will join an established team that loves to use their knowledge and expertise to build novel, industry-leading models and analyses. We follow our core principles to produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems. This role sits within our data science team, building trustworthy revenue projections across multiple geographies.
Responsibilities:
  • Sourcing, processing, analyzing, and interpreting large & complex datasets within our growing forecast offering.
  • Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.).
  • Working closely with our product function to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team.
Qualifications:
  • 1 to 5 years experience using Python (or another programming language e.g. R, C , Java) and with the scientific computing stack for data analysis and data science.
  • Exceptional quantitative skills and a degree in a quantitative field: maths, engineering, computer science, physics, chemistry, biology.
  • Great technical communication and exceptional technical problem-solving skills.
  • Previous experience in energy modeling, with a specific focus on the North American Power systems.
  • A self-starter attitude, with an eagerness to dive headfirst into problems and pick things up quickly.
Important Details:
  • For California and New York Applicants, the salary range for this position is 90k - 180k per year.
  • We work in a Hybrid Environment: You split your time between working from home and working in our Austin office (Tuesday - Thursday).
This salary range may include multiple levels. Your level is based on our assessment of your interview performance, experience, and expertise, which you can always ask the hiring manager or recruiter about to understand in more detail. Please note that this salary information is solely for candidates hired to perform work in and around San Francisco, CA or New York, NY and refers to the amount Modo Energy is willing to pay at the time of this posting. Salary is just one component of Modo Energy's total compensation package for employees. Your total rewards package at Modo Energy will include 25 days of annual leave, medical, dental and vision coverage, 401k matching, disability and term life insurance, parental leave, paid vacation, and your birthday off.
What you can expect from Modo
We want to attract and retain the best talent at Modo, and we give our people the freedom and opportunity to develop themselves and flourish.
We are committed to building a diverse and inclusive team at Modo, as we believe a variety of backgrounds, skills and interests is what makes our company stronger. If you share our values and our enthusiasm for supporting the transition to greener energy systems, we encourage you to apply. We have a number of positions open which could be for a range of backgrounds and experience levels. Please get in touch if you are interested and you don't meet all the requirements, or if you exceed them!

Job Summary

JOB TYPE

Full Time

SALARY

$108k-133k (estimate)

POST DATE

06/23/2024

EXPIRATION DATE

07/10/2024

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Modo Energy
Full Time
$108k-133k (estimate)
3 Weeks Ago

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.

Remote | Other
$108k-133k (estimate)
1 Week Ago

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.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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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.

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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.

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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.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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