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Data Scientist
2 months ago
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
Whisker, is the maker of Litter-Robot, Feeder-Robot, and Litterbox.com. At Whisker, we believe pet parenthood can always get better.
As leading innovators in pet tech and refined pet accessories, we work tirelessly to solve problems and deliver smarter insights for pet parents while enriching the lives of pets. Whether it’s a self-cleaning litter box that automates scooping, an automatic feeder that helps pets develop healthier eating habits, or a modern cat tree that delights both humans and felines, we strive to deliver better solutions for consumers while transforming pet care along the way. To us, having a pet is the best thing ever. At Whisker, life together just keeps getting better.
Whisker is based in Auburn Hills, Michigan and Juneau, Wisconsin with 500+ passionate team members.
What You’ll Do:
The Data Scientist II will play a pivotal role in Whisker’s data-driven decision-making process and will be responsible for leading and executing complex data science projects, utilizing expertise in statistical analysis, machine learning, and data modeling. The Data Scientist’s deep understanding of data extraction, manipulation, and interpretation will contribute to the development of innovative solutions that drive business growth and optimize operations.
Essential Duties and Responsibilities:
This list of duties and responsibilities is not all-inclusive and may be expanded to include other duties and responsibilities as deemed necessary.
Data Analysis and Modeling:
Applies advanced statistical techniques and machine learning algorithms to analyze large datasets, uncover patterns, trends, and insights, and builds predictive models
Collaborates with cross-functional teams to extract meaningful business implications from the data
Project Leadership:
Takes the lead on data science initiatives, from inception to completion
Defines project scopes, sets milestones, and allocates resources effectively to ensure timely and accurate delivery of solutions
Machine Learning and AI:
Develops, implements, and optimizes machine learning algorithms to solve complex business problems
Ideates and executes on projects that involve natural language processing, computer vision, recommendation systems, and other cutting-edge technologies
Identifies and architects ETL data subsystems to prepare data for analysis and training
Data Visualization:
Communicates findings and results effectively through clear and compelling data visualizations, making complex concepts accessible to both technical and non-technical stakeholders
Model Deployment:
Collaborates with software engineering teams to integrate machine learning models into both production and internal systems, ensuring scalability, performance, and maintainability
Data Governance and Ethics:
Upholds data governance principles and adheres to ethical practices while handling sensitive and confidential data
Mentorship and Knowledge Sharing:
Provides guidance and mentorship to junior data scientists, fostering their growth and development
Contributes to the organization's knowledge base by sharing insights, best practices, and emerging trends in the data science field
Continuous Learning:
Stays updated on the latest advancements in data science, machine learning, and related fields, and identifies opportunities to apply new methodologies to existing projects
Will perform additional responsibilities when required
Requirements:
What You’ll Bring:
BA / BS / MS Degree in Math, Statistics, Computer Science or equivalent years of experience
3+ years in a Data Engineering, Data Science Role
3+ years experience in an e-Commerce, direct-to-consumer company, including familiarity working with customer data (lifetime value, customer acquisition cost, churn rate)
Experience with data engineering patterns and an ability to stand up new data pipelines
Experience with ETL fundamentals and building efficient data pipelines (Glue, EMR, Spark)
Experience with relational SQL and NoSQL databases, including RDS, DynamoDB, PostgreSQL
Experience with cloud services: Cloud (AWS) experience with object-oriented programming (Python)
Comfortable working with common ML/DL libraries (Pandas, Numpy, Scikit-Learn, Tensorflow, Pytorch, MXNet, StatsModels)
Maintains confidentiality of proprietary information
Ability to maintain a professional atmosphere in a fast-paced environment with numerous interactions and interruptions
A high degree of initiative, self-motivation, and ability to motivate others
Ability to establish and maintain cooperative working relationships with Team Members and colleagues
Not Required but Nice to Have
Current or previous pet parent
Experience implementing a production data pipeline, at scale on a live, customer-facing product, from the ground up
Experience with the BI tool, Domo
Experience working in an Agile environment
Benefits & Purrks:
Join a tenacious, inventive company that empowers team members to chart their own path, lead by grounding decisions in the “why”, and has a strong sense of empathy and openness to new perspectives. Be a part of exciting growth, work with incredible people, and create tomorrow’s pet products—plus a whole lot of extras. You will also be provided with:
Premium Medical/Dental/Vision insurance
Paid parental leave
Whisker Parents Program
1 day "pawternity" leave for new pet adoption
Pet Insurance
401K match
Flexible spending accounts
Company-paid short-term disability and life insurance
Employee Assistance Program (EAP)
Generous paid time off
14 Paid Holidays
Top of the line equipment
Pet-friendly office
Whisker products and swag
Continuing education support
On-site gym with peloton
Referral program
Statement of Inclusivity:
We believe different perspectives make Whisker better and strive to create a place where everyone has equal opportunities to thrive.
Please ensure to regularly check your email spam folder for any communication from Whisker to avoid missing important updates regarding your application status.
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