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EasyPost
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Data Scientist
EasyPost Denver, CO
$71k-88k (estimate)
Full Time 9 Months Ago
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EasyPost is Hiring a Data Scientist Near Denver, CO

Founded in 2012, EasyPost is a YC unicorn whose mission is to make shipping simple for businesses, from garage startups to the Fortune 500. Shipping, now more than ever, is the backbone of the global economy, but integrating the technology-enabled operations of a modern business with the low-tech and complex shipping industry has always been a challenge. EasyPost solves this problem with the first developer-friendly REST API for shipping, and we continue to push boundaries and discover new ways to simplify shipping for all. Our team is rapidly growing, and this is the perfect time to get on board. Join us, and help build the shipping infrastructure of the future.About the role:We are looking for a data scientist to join our team who is excited about exploring large data sets to build compelling products and provide insights to drive company strategy. In this role, you will collaborate with stakeholders across our business, product and engineering organizations to solve the most pressing challenges the company faces. If you love to dive deep into fascinating data sets, tell compelling stories with data and enjoy working in a fast paced, collaborative environment, we’d love to hear from you!What you will do:o Work with internal stakeholders to provide data-driven answers to strategic business questions using a variety of techniqueso Research, prototype and track key company metrics. o Build dashboards in Tableau/Python to monitor and share the resultsIdentify new areas of opportunity for the company and prototype solutions; conduct basic market research and find external data sources to validate these ideaso Help build internal tools that help the business team make data-driven decisions and/or automate manual processeso Contribute to existing internal and external machine learning-based products via researching new methodologies, creating new measurement/validation techniques, etc. to increase efficacy and business outcomesAbout you: o Programming skills in a scientific computing language (Python preferred) and SQLo Understanding of statistics and machine learning; understanding of complexity vs. performance tradeoff in these systemso Business acumen - understand business objectives, identify problems that data can help solve and drive the solution from start to finisho Developed communication and presentation skills; ability to effectively translate technical concepts to stakeholders with a wide range of technical capabilitieso Collaborative attitude; open to giving and receiving constructive feedback, mentoring/assisting team members and contributing to a positive work environmento Familiarity with SaaS business model/metrics and/or previous experience in e-Commerce/logistics o Minimum of 3 years experienceWhat We Offer:o Comprehensive medical, dental, vision, and life insuranceo Competitive compensation package and equityo 401(k) matcho Monthly work from home stipend of $100 neto Flexible work schedule and paid time offo Collaborative culture with a supportive teamo A great place to work with unlimited growth opportunitieso The opportunity to make massive contributions at a hyper-growth companyo Make an impact on a product helping ship millions of packages per dayData Privacy Notice for Job Applicants:For information on personal data processing, please see our Privacy Policy: https://www.easypost.com/privacy"EasyPost is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law."To be considered for this position, you must be authorized and based in the United States.

Job Summary

JOB TYPE

Full Time

SALARY

$71k-88k (estimate)

POST DATE

07/16/2022

EXPIRATION DATE

01/15/2023

WEBSITE

easypo.net

HEADQUARTERS

San Francisco, CA

SIZE

<25

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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.

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.

Butler University
Carroll College
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