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Chewy
Chewy

We love pets and the people who love them.

Data Scientist III at Chewy

RoleData Science
LevelSenior
LocationBoston, Morocco, United States
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

Job Description:

Data Scientist IIIBoston, MA – Customer Service

– Full time – R29580Job Description: What you’ll do:

  • Develop machine learning infrastructure and data pipelines that improve data quality.
  • Use machine learning frameworks in both development, testing, and production environments to create and deploy new technologies.
  • Identify opportunities for data science to improve current products and practices for business engineering teams.
  • Create machine learning algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics.
  • Perform data ET, statistical and analytical analyses, and communicate insights and recommendations to Chewy management to make informed decisions.
  • Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
  • Establish collaborative working relationships at all levels across various functional teams.

What you’ll need:

  • Minimum Requirements: Master’s degree in Data Science, Analytics, Engineering, or related field of study and 4 years of experience required as a Data Scientist, or related position/occupation.
  • Alternate Education and Experience: PhD in Data Science, Analytics, Engineering, or related field of study and 2 years of experience required as a Data Scientist, or related position/occupation.
  • Full term of experience must include:
  • Manage the entire data science lifecycle, data prep, exploratory data analysis, modeling, interface with engineering;
  • Amazon Web Services tools such as Redshift, Snowflake, Sage Maker or other similar platforms;
  • R, Py Spark, Spark, Scala, Java, Py Torch, Tensor Flow, Docker;
  • Object-oriented programming with Python; and
  • Data visualization tools and packages (Tableau or similar).

Employer:

Chewy, Inc.

Office Address:

343 Congress Street, Floor 5, Boston, MA 02210

Req:

R29580

Thebase salary range for this role is $161,803 to $229,000 per year

  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Required skills

Machine learning

Statistical analysis

Data pipelines

Model deployment

Feature engineering

Experimentation

Python

Stakeholder communication

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About Chewy

Chewy

Chewy

Public

Chewy, Inc. is an American online retailer of pet food and other pet-related products based in Plantation, Florida. Chewy went public in 2019 with the ticker symbol CHWY on the New York Stock Exchange.

1-50

Employees

Chennai

Headquarters

$7.5B

Valuation

Reviews

10 reviews

3.5

10 reviews

Work-life balance

2.8

Compensation

3.2

Culture

4.1

Career

2.5

Management

2.3

65%

Recommend to a friend

Pros

Great coworkers and team spirit

Excellent health benefits

Good training programs

Cons

High workload and fast-paced environment

Long hours especially during peak times

Limited career growth opportunities

Salary Ranges

1,196 data points

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist I

1 reports

$136,500

total per year

Base

$105,000

Stock

-

Bonus

-

$136,500

$136,500

Interview experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience