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Propel
Brooklyn, NY | Full Time
$126k-156k (estimate)
1 Month Ago
Altana AI
Brooklyn, NY | Full Time
$107k-129k (estimate)
1 Day Ago
EnergyHub
Brooklyn, NY | Full Time
$110k-137k (estimate)
2 Months Ago
Boston Consulting Group
Brooklyn, NY | Full Time
$145k-178k (estimate)
2 Months Ago
Vera Institute of Justice
Brooklyn, NY | Full Time
$136k-168k (estimate)
3 Months Ago
Boston Consulting Group
Brooklyn, NY | Full Time
$212k-259k (estimate)
6 Months Ago
Data Scientist
Propel Brooklyn, NY
$126k-156k (estimate)
Full Time | IT Outsourcing & Consulting 1 Month Ago
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Propel is Hiring a Remote Data Scientist

At Propel, our mission is to build modern, respectful, and effective financial tools for low-income Americans. Our vision is that all Americans can make it through every month with dignity and abundance. Over 5 million people use our app, Providers, to manage the benefits they use to keep their family well-fed and healthy, stay up to date on critical government programs, save money and earn income. Read more about the impact of Providers in the New York Times

We’re looking for a Data Scientist to help drive impact, starting with our ads platform which connects low-income users to significant financial savings, including government-subsidized discounts they may not be aware of. As a Data Scientist, you’ll work on meaningful and complex technical problems that have a positive impact on our users’ lives. 

Propel is a for-profit software company that holds its social mission at its core. Our investors include Andreessen Horowitz, the Omidyar Network, Kevin Durant, Serena Williams, and Nas. 

What we offer:

  • Meaningful work and a strong shared sense of mission
  • A data science culture that is collaborative, curious, and impact focused
  • A people-first approach to management where we value data scientists’ voices, support career development, and offer opportunities for technical growth that interest you
  • A remote first work environment with a dog-friendly office in Downtown Brooklyn and satellite offices in San Francisco and Salt Lake City. The team meets in-person for optional retreats and on-sites.
  • 20 Days of PTO
  • 4% 401K match
  • $10k lifetime spend towards Carrot Fertility
  • Excellent Medical, Dental and Vision options
  • Free access to Ginger mental health, Gympass, Headspace, One Medical, Rightway, Sofi, and Spring Health
  • Fair, equitable, and competitive salaries. Propel believes that everyone should be compensated fairly and equitably. We set our salary ranges using compensation data from hundreds of NYC based startups at our stage. Additionally, pay is not determined based on location. The salary range for this position is $140,000 - $165,000 depending on experience and interview performance. Equity and excellent benefits come with this position as well!

What you will do:

  • Contribute to software systems used by millions of low-income Americans, helping to put dollars back in their pockets
  • Drive change through impactful data analysis and investigations
  • Support machine learning algorithms that improve how ad content is matched to users, how customer ad budget is spent, and how ad impressions are distributed. Contributions could be through analysis and data insight, but can also include production code. 
  • Maintain reliable data pipelines to ensure trustworthy data.
  • Help Data Analysts and Customer Success Managers make their processes efficient and valuable, serving as our resident expert in Marketplace data. 
  • Effectively communicate with team members during projects, code review, etc.
  • Contribute to building our data science culture and processes as we continue to scale
  • Collaborate on deciding on the right projects, building great solutions, and helping your team succeed

What you have:

  • Exceptional skills at converting questions into data analysis and insight, with just the right level of complexity. 
  • Quantitative mindset, strong at working with probability distributions, causal inference, cost-benefit analysis, networks.
  • Experience with a startup environment or the ability to operate effectively when faced with ambiguity
  • Experience with machine learning algorithms
  • [Not required but highly valued] Experience with ad platforms and recommender systems 
  • Strong communication skills across technical and non-technical audiences and topics
  • Eagerness to learn new techniques, strong prioritization skills
  • Fluency in SQL and either Python or R
  • Passion for making a difference in the lives of our users
  • Nice to have: Experience with or knowledge of government services, particularly safety net services like SNAP, WIC, TANF, SSI, SSDI, Medicaid, Section 8

We are strongly committed to hiring a diverse and multicultural team, and encourage applications from traditionally under-represented backgrounds, including those with direct experience with the Supplemental Nutrition Assistance Program.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$126k-156k (estimate)

POST DATE

03/15/2024

EXPIRATION DATE

04/24/2024

WEBSITE

joinpropel.com

HEADQUARTERS

BROOKLYN HEIGHTS, NY

SIZE

50 - 100

FOUNDED

2014

CEO

SIZHE CHEN

REVENUE

<$5M

INDUSTRY

IT Outsourcing & Consulting

Show more

Propel
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The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.

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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.

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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.

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.

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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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