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Sealed Inc.
Denver, CO | Full Time
6 Months Ago
SynergisticIT
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Amazon.com
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Oracle
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Pie Insurance
Denver, CO | Full Time
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Pie Insurance
Denver, CO | Full Time
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Denver, CO | Full Time
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Test Frontier Job Board
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Frontier Airlines
Denver, CO | Full Time
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11 Months Ago
Data Scientist
Sealed Inc. Denver, CO
Full Time 6 Months Ago
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Sealed Inc. is Hiring a Data Scientist Near Denver, CO

Who are we?

Sealed is a climate tech company on a mission to stop home energy waste and electrify all homes.

Sealed designs, manages, and finances home weatherization and electrification projects, making it easy and affordable for people to be more comfortable while using less energy. Our proven holistic approach can reduce energy use by 50% and takes a home completely off of fossil fuels with upgrades like high-performance insulation, air sealing, and heat pump HVAC. Our expert team designs the right solution, matches top-rated local contractors, and manages the project start to finish. Sealed covers the upfront costs, and we’re accountable to impact: if we don’t cut energy waste, we don’t get paid.

Sealed, one ofFast Company’s top ten most innovative energy companies of 2021, is venture backed and based in New York City. Learn more at sealed.com.

What will you do?

We are seeking an experienced and motivated Data Scientist to join Sealed’s growing Data Org. Reporting to the Director of Data, you’ll leverage your analytical and technical skills to drive the entire lifecycle from data exploration, analysis and modeling, selection and validation, and experimentation as well as contribute to deployment.

You will work with Energy Experts, Product Managers, Software Engineers, Data Engineers, and our Principal Data Scientist to build new and enhance existing ML models. Initial focus would be on predicting energy consumption under different scenarios and iterations with the plan to expand the Data Science offerings at Sealed to automate decisions and provide recommendations across the Marketing, Finance, and Product departments.

The Data Org is a new and growing team at Sealed so you must be able and excited to make foundational decisions as well as produce deliverables without necessarily having the full infrastructure and support of a larger company.

What success looks like:

  • Support our Principal Data Scientist to improve training sets, investigate anomalies, functionalize data wrangling, and optimize performance of existing models within the first 3 months.
  • Explore and mine internal and external datasets for new business applications and build toy models proving your hypotheses within the first 6 months.
  • Able to independently field energy market research requests from internal stakeholders by the end of 6 months.

Requirements:

  • 5 years relevant experience in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.)
  • Proficient with Python and data manipulation/analysis libraries such as Numpy, Scipy, Pandas, Scikit-learn
  • Proficient with database querying (SQL), manipulating and analyzing large, high dimensional, structured, & unstructured datasets
  • Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.)
  • Experienced in code management, version control, cloud computing infrastructure
  • Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and data-driven recommendations

Benefits & Perks:

  • Competitive salary
  • Flexible PTO
  • Stock options
  • Health benefits, including some focused on mental health 
  • 401(k) plan
  • Paid family leave 
  • Paid medical leave
  • Work from home stipend 
  • Learning & development stipend
  • Flexible work environment: work remotely from anywhere within the US or from our headquarters office in NYC

Job Summary

JOB TYPE

Full Time

POST DATE

09/29/2022

EXPIRATION DATE

11/12/2022

WEBSITE

sealedhomes.com

HEADQUARTERS

Elmwood Park, NJ

SIZE

<25

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Sealed Inc.
Remote | Full Time
$128k-157k (estimate)
Just Posted
Sealed Inc.
Remote | Full Time
$98k-118k (estimate)
1 Month 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.

Pearson
Full Time
$109k-135k (estimate)
Just Posted

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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