Job Description

Salary: $88,000 - 123,000 per year Requirements:

• A Bachelor’s Degree from an accredited institution
• Over 3 years of professional experience in data science roles
• More than 3 years of experience using Python (including libraries like scikit-learn, pandas, and NumPy) and SQL for data manipulation and analysis
• At least 1 year of experience with cloud computing platforms (such as Azure, AWS, or GCP) and DevOps practices

Responsibilities:

• I will develop and deploy machine learning models and statistical analyses to address business challenges.
• I will collaborate with product owners, engineers, and business stakeholders to translate business requirements into data science solutions.
• I will perform data wrangling, feature engineering, and exploratory data analysis utilizing Python and SQL.
• I will contribute to the design and implementation of scalable data pipelines and model deployment workflows.
• I will communicate findings and recommendations through clear visualizations and storytelling.
• I will stay updated with emerging tools and techniques in data science and apply them to real-world scenarios.
• I will participate in peer code reviews and contribute to best practices in model development and deployment.

Technologies:

• AWS
• Azure
• Cloud
• DevOps
• GCP
• Support
• Machine Learning
• Marketing
• Power BI
• Python
• SQL
• Tableau
• numpy
• pandas
• Databricks

More:

At our company, anchored by integrity and the bond between people and pets, we take great pride in our work and find immense joy in working alongside each other. With a rich tradition of excellence, we embrace possibilities and strive to innovate in pet care. Join us in fulfilling your purpose and passions by being part of a team that values collaboration—We are Proudly Connected. Purely Driven.

As a Data Scientist, I will play a pivotal role in crafting and implementing analytical solutions that drive business value across various functions, including Manufacturing, Marketing, and Supply Chain. By joining forces with cross-functional teams, I will build predictive models, automate insights, and support data-driven decision-making, making a significant impact in our ongoing journey.

While a Master’s degree in Data Science, Computer Science, Statistics, or a related field is preferred, expertise in Machine Learning Ops tools and experience in production environments will also be desirable. Familiarity with data visualization tools like Power BI or Tableau, as well as experience automating workflow for scalable analytics solutions, would be an advantage.

The approximate salary range for this position falls between $88,000 and $123,000. This estimate serves as a good faith assessment based on various factors, including individual background and geographic location. We offer performance-based incentives and a competitive total rewards package, including a 401k with a company match, healthcare coverage, and additional benefits.

We are committed to fostering an inclusive work environment and welcome talents from all backgrounds. If you're a veteran or have a disability, we encourage you to apply and inform us of any special accommodations you may need during the recruitment process. This position does not qualify for Visa Sponsorship.

Please review our applicant privacy notice before applying. We look forward to welcoming you to our team!

last updated 35 week of 2025

Job Tags

Full time,

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