Search for senior data scientist roles focusing on recommendations in Brooklyn Park, MN, with 3+ years of experience, strong Python skills, and offering flexible work arrangements.

Okay, I've searched for senior data scientist roles focusing on recommendations in Brooklyn Park, MN, requiring 3+ years of experience, strong Python skills, and offering flexible work arrangements. I found 47 positions that match your criteria.

Senior Data Scientist

Brooklyn Park, MN

3 years + Experience

Python

Hybrid

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Sr Data Scientist - Recommendations at Target fundamentally centers on creating and managing predictive algorithms essential for optimizing decision-making within the retail space. This involves not just technical execution but a deep comprehension of both data science principles and the specific challenges faced by Target in areas such as marketing, supply chain, and customer personalization. The primary responsibilities revolve around developing and augmenting AI-driven recommendation products in collaboration with a diverse team. This implies a need for strong cross-functional teamwork and the ability to translate complex analytics into actionable insights that can drive business strategies. Candidates will likely face challenges related to integrating algorithms into existing systems, ensuring code quality, and maintaining clear communication with both technical and business stakeholders. Success would be demonstrated by the ability to deliver innovative, effective solutions that align with Target's strategic goals and significantly enhance the user experience for guests. The role calls for rigorous analytical skills, creativity in problem-solving, and a results-oriented approach to meet tight deadlines.

Company Analysis:

Target is a well-established leader within the retail industry, recognized for its commitment to community support and responsible corporate practices. This corporate ethos presents a nurturing environment for employees, valuing ethical considerations alongside business strategies, which will resonate with candidates who prioritize alignment between personal and professional values. The company's culture appears to be innovation-driven yet rooted in a sense of stability and tradition, offering a collaborative atmosphere where cross-geographical teamwork is encouraged. As a Sr Data Scientist, the role occupies a critical position within the data sciences team, closely interacting with machine learning engineers and product managers, thereby influencing major business decisions. Given Target's emphasis on providing exceptional value and positive shopping experiences, the data scientist's work will be pivotal in shaping tailored solutions that meet consumer needs. This strategic hire aims to enhance Target's capabilities in data-driven recommendations, underlining the importance of this role in the company's broader objectives of growth and enhanced customer satisfaction. Overall, Target provides a conducive environment promoting professional development while striving for impactful community engagement.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you developed a recommendation system. What were the challenges, and how did you address them?
Can you describe an experience where you had to translate a complex data-driven insight into actionable business strategy?
Explain how you approach collaboration with cross-functional teams, especially in a remote or hybrid work environment.
How do you stay updated on the latest advancements in deep learning and machine learning? Can you give an example of how you've applied new knowledge in a project?
What processes do you follow to ensure the maintainability and performance of your code in large-scale environments?
How would you apply your knowledge of statistical algorithms to enhance Target's recommendation engine?
Imagine you are tasked with improving the accuracy of product recommendations by using collaborative filtering. What would be your first steps?
If you noticed a decline in user engagement with the recommendations, how would you investigate and rectify the issue?
Why are you interested in working at Target specifically, and how do you see yourself contributing to our mission?
How do Target's values resonate with your personal values, especially regarding community support and responsible business practices?
What would you consider the biggest challenge in blending data science with retail, and how would you approach this challenge?
What questions do you have about our data science team's role in informing Target's broader strategic goals?
How does the hybrid work arrangement affect your productivity, and how do you plan to manage it effectively?

Job Details

Overview Company

Senior Data Scientist

$95k/y-$171k/y

Target

2 days ago

Highlight

HybridFull-time3+ yearsSenior

Summary

Target is seeking a Sr Data Scientist - Recommendations to join their team in Brooklyn Park, MN. The role involves developing and managing state-of-the-art predictive algorithms to optimize decisions at scale.

About the Role

As a Sr Data Scientist, you will collaborate with applied data scientists, machine learning engineers, and product managers to build AI-driven digital Recommendation products. You will leverage deep learning, machine learning, and statistical models using Python and Scala, perform data exploration and analysis, implement algorithmic solutions, and analyze performance to determine the best solution. You will also document and present work to technical and non-technical peers and build knowledge on business priorities to develop requirements and solutions.

About You

Required:

4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience.
PhD or MS in Computer Science, Applied Mathematics, Physics, Data Sciences or relevant industry experience.
3+ years of professional experience with recommender systems.
Experience designing and developing deep learning, machine learning, optimization and statistical models.
Strong hands-on programming skills in Python and extensive experience with SQL, Hadoop/Hive, PySpark, and/or Scala.
Good working knowledge of mathematical and statistical concepts, algorithms and computational complexity.
Strong problem solving skills and ability to develop innovative solutions.
Excellent communication skills and ability to tell data driven stories.
Self-driven and results oriented with the ability to meet tight timelines.
Strong team player with ability to collaborate effectively across geographies/time zones.

Benefits

Comprehensive health benefits including medical, vision, dental, life insurance.
401(k) plan.
Employee discount.
Short term disability.
Long term disability.
Paid sick leave.
Paid national holidays.
Paid vacation.

Target

Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.

For more information, visit corporate.target.com.

Brooklyn Park, MN