Search for Sr Data Scientist roles in Minneapolis, specifically in the field of machine learning and data science, for full-time positions, with 3+ years of experience, and a salary expectation of $100,000 or more.

Okay, I've searched for Sr Data Scientist roles in Minneapolis focusing on machine learning and data science, for full-time positions, requiring 3+ years of experience, with a salary expectation of at least $100,000. I have found 42 positions for you that match your criteria. You can review them now.

Sr Data Scientist

Minneapolis, MN

Machine Learning

3 years + Experience

$100000+

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

Sure. Here's the analysis:

Job Analysis:

The Senior Data Scientist in Recommendations and Personalization at Target is fundamentally tasked with developing advanced algorithms that enhance customer personalization through deep learning and machine learning techniques. This role emphasizes a blend of technical prowess and strategic thinking, as the data scientist will collaborate with cross-functional teams—including marketing, supply chain, and product management—to ensure that the developed models are not only technically sound but also aligned with business objectives. Responsibilities such as performing data exploration, implementing algorithmic solutions, and optimizing model performance suggest a dynamic environment where adaptability and innovation are key. The challenges faced in this role may include navigating complex datasets, resolving discrepancies in business priorities, and continuously optimizing algorithms against evolving business needs. Success in this position would be marked by the ability to translate technical results into actionable insights that drive marketing and operational decisions, ultimately enhancing the guest experience Target aims to deliver.

Company Analysis:

Target operates within the competitive retail landscape as one of America's leading retailers. Its commitment to providing exceptional value and guest experience positions it as a trusted brand that prioritizes customer satisfaction and corporate responsibility. Given this backdrop, the company likely fosters a culture rooted in innovation and collaboration, emphasizing empowerment and ethical practices. This dynamic will be particularly relevant for the Senior Data Scientist, who must work effectively with diverse teams across different functions and geographic locations, taking into account the company's holistic mission. The role also hints at a proactive approach to data sciences, reflecting Target's goal to leverage analytics for strategic advantage in personalizing the shopping experience. This indicates that the company values not only technical expertise but also the ability to translate complex data insights into impactful solutions that align with Target's broader strategic goals of enhancing customer loyalty and operational efficiency.

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 machine learning model that successfully solved a complex problem. What was your approach and what were the outcomes?
Describe a challenging data analysis project you have worked on. What obstacles did you face and how did you overcome them?
Can you give an example of how you collaborated with cross-functional teams to deliver a project? What was your role in facilitating communication between them?
How do you prioritize tasks when working on multiple projects with tight deadlines? Can you provide a specific example?
How would you approach optimizing a recommendation system for a large retail platform like Target?
What statistical methods would you employ to evaluate the performance of algorithms used in recommendations? Why are they effective?
Can you explain your experience with SQL and how you have applied it to extract and manipulate data for modeling?
What techniques do you use to ensure your code remains maintainable and well-documented during the software development process?
Imagine you are faced with a situation where the initial performance of your recommendation algorithm does not meet business expectations. How would you diagnose the problem?
Why are you interested in joining Target, and how do you see yourself contributing to our mission and values?
How would you integrate your understanding of market dynamics into your work as a data scientist at Target?
What can you tell us about the importance of responsible data practices in the context of personalization in retail?
If you had the opportunity to present your findings to non-technical stakeholders, how would you tailor your presentation to ensure clarity and engagement?
What questions do you have about the team structure and collaboration within Target's Data Sciences department?
How does your experience align with Target's focus on community support and corporate responsibility?

Job Details

Overview Company

Senior Data Scientist

$95k/y-$205k/y

Target

16 hours ago

Highlight

HybridFull-time3+ yearsSenior

Summary

Target is seeking a Sr Data Scientist - Recommendations and Personalization to join their team in Minneapolis, 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 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 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.

Minneapolis, MN