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Impact
As a Senior Data Scientist on the Marketplace Product team, you will collaborate closely with diverse teams (including product managers, engineers, and fellow data scientists) to advance our understanding of the customer, make predictions to improve our products and experiences, and design and measure experiments. Our ideal candidate will be data-driven, intellectually curious, technically and statistically rigorous, and a clear communicator.
As a Senior Data Scientist on the Marketplace Product team, you will collaborate closely with diverse teams (including product managers, engineers, and fellow data scientists) to advance our understanding of the customer, make predictions to improve our products and experiences, and design and measure experiments. Our ideal candidate will be data-driven, intellectually curious, technically and statistically rigorous, and a clear communicator.
Your Responsibilities Will Include: Bringing strong technical expertise and develop a thorough understanding of our data to drive insights in the areas of customer acquisition, engagement, retention, and loyalty through causal inference and experimentation methods. Contributing to organizational maturity in data storytelling and best-in-class ML and statistical approaches. Designing product experiments to test business hypotheses, apply rigorous statistical analyses, and interpret the results to draw impactful insights, and contribute to the data science roadmap and priorities within your area of ownership.
What You’ll Need to Be Successful
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Advanced degree in a quantitative field, and a minimum of 4 years of industry experience.
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4+ years with exploratory data analysis, statistical analysis and testing, experiment design and model development, and knowledge of how to leverage these skills to solve complex business problems.
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Expertise in causal inference.
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Strong SQL skills
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Proficiency in Python.
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Experience with a data visualization tool.
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Ability to work collaboratively in a dynamic, team-based environment.
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Demonstrated ability to learn and embrace new technologies, applications, and solutions.
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Experience as a technical lead and a passion for mentoring.
Pay Range: $137,500 - $170,000Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
Skills & Education
This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below.
Data Science, Experimentation, Exploratory Data Analysis (EDA), Product Analytics
Bachelor's Degree or equivalent experience | Required
Work Arrangement
Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.
About Shipt
Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.
At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More.
Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt’s company site at Shipt.com.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.
Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form.
For technical interviews, Shipt uses an online coding platform. In the event you may need a reasonable accommodation to use the online coding platform, please connect with your recruiter.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company’s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.
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Shiptについて

Shipt
AcquiredShipt is an American delivery service owned by Target Corporation. It is headquartered in Birmingham, Alabama.
1,001-5,000
従業員数
Birmingham
本社所在地
レビュー
3.8
10件のレビュー
ワークライフバランス
3.5
報酬
3.8
企業文化
4.0
キャリア
2.5
経営陣
2.8
65%
友人に勧める
良い点
Flexible hours/schedule
Good/decent pay
Supportive team/environment
改善点
Long hours during busy/peak times
Poor management/lack of communication
Inconsistent hours
給与レンジ
142件のデータ
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Junior/L3 · Data Scientist L2
0件のレポート
$161,500
年収総額
基本給
-
ストック
-
ボーナス
-
$137,275
$185,725
面接体験
4件の面接
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Background Check
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Customer Service Scenarios
Technical Knowledge
ニュース& 話題
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