About talentedge
talentedge is a fast‑growing leader in the pet‑care e‑commerce space, delivering premium products and services to millions of pet owners across the United States. With a culture built on curiosity, data‑driven decision making, and relentless innovation, talentedge empowers its teams to turn complex business challenges into actionable insights. Our Information Science group is at the heart of this transformation, leveraging cutting‑edge technologies to create predictive solutions that enhance the customer experience, optimize supply chain efficiency, and drive sustainable growth.
Why This Role Is a Game‑Changer
As a Remote Data Scientist with talentedge, you will be part of a high‑impact team that directly influences product strategy, marketing effectiveness, and operational excellence. You’ll work alongside seasoned data engineers, product managers, and software developers to design, build, and scale sophisticated data pipelines and machine‑learning models that solve real‑world problems for our customers. This is a unique opportunity to apply your analytical expertise in a dynamic, remote‑first environment while enjoying a competitive hourly rate of $25.
Key Responsibilities
- Design & Build Predictive Models: Apply statistical and machine‑learning techniques to develop, test, and deploy robust models that improve product recommendations, forecast demand, and detect anomalies.
- Data Pipeline Engineering: Collaborate with data engineers to construct scalable data ingestion and transformation pipelines using modern cloud platforms such as Amazon Redshift, Snowflake, and SageMaker.
- Experimentation & Validation: Conduct rigorous A/B testing, performance evaluation, and model validation to ensure reliability, accuracy, and fairness of predictive solutions.
- Cross‑Functional Collaboration: Partner with product owners, software engineers, and business analysts to translate ambiguous business requirements into clear, data‑driven problem statements.
- Research & Innovation: Stay current with emerging trends in AI, deep learning, and big‑data technologies; propose and prototype novel approaches that can give talentedge a competitive edge.
- Data Visualization & Storytelling: Create compelling visualizations and narratives that communicate complex analytical findings to non‑technical stakeholders in an understandable and actionable manner.
- Continuous Improvement: Identify bottlenecks, troubleshoot data quality issues, and implement best practices for data governance, security, and reproducibility.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field. A Master’s degree is preferred.
- Technical Proficiency: Proven experience developing and deploying machine‑learning models using Python, R, PySpark, or Scala. Hands‑on expertise with deep‑learning frameworks such as PyTorch or TensorFlow.
- Cloud & Database Skills: Working knowledge of SQL (intermediate level) and familiarity with cloud‑based data services (e.g., Amazon Redshift, Snowflake, SageMaker).
- Communication Skills: Excellent verbal and written communication abilities, with a talent for translating complex technical concepts into clear, business‑focused language.
- Problem‑Solving Mindset: Demonstrated ability to tackle ambiguous problems, break them down into actionable steps, and deliver results under tight deadlines.
Preferred Qualifications & Experience
- Master’s degree or Ph.D. in a quantitative discipline.
- Professional experience with containerization tools such as Docker and orchestration platforms like Kubernetes.
- Hands‑on experience with big‑data processing frameworks (e.g., Hadoop, Spark) and real‑time analytics.
- Track record of building end‑to‑end machine‑learning solutions that have been productionized at scale.
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
- Experience in e‑commerce, retail, or consumer‑goods domains, especially in pet‑care or related industries.
Core Skills & Competencies
- Analytical Rigor: Strong statistical foundation and ability to perform exploratory data analysis, feature engineering, and model diagnostics.
- Programming Excellence: Proficiency in Python (pandas, NumPy, scikit‑learn) and ability to write clean, maintainable code.
- Data Management: Expertise in handling large, heterogeneous datasets, ensuring data quality, and implementing efficient storage solutions.
- Collaboration: Ability to work effectively in a remote, cross‑functional team, leveraging collaboration tools such as Slack, Jira, and Confluence.
- Adaptability: Comfort with fast‑paced environments, shifting priorities, and evolving business needs.
- Ethical Awareness: Commitment to responsible AI practices, data privacy, and fairness in model development.
Career Growth & Learning Opportunities
talentedge invests heavily in the professional development of its people. As a Remote Data Scientist, you will have access to:
- Mentorship programs pairing you with senior data scientists and industry experts.
- Sponsored certifications and training courses in advanced machine learning, cloud architecture, and data engineering.
- Opportunities to present at internal hackathons, conferences, and publish research findings.
- A clear career ladder that moves from Individual Contributor to Lead Data Scientist, and eventually to Director of Analytics or Chief Data Officer.
Work Environment & Culture at talentedge
Our remote‑first philosophy means you can work from anywhere in the United States while staying connected to a vibrant, inclusive community. talentedge fosters a culture of:
- Innovation: We encourage experimentation and reward creative problem‑solving.
- Collaboration: Regular virtual coffee chats, team‑wide retrospectives, and cross‑departmental projects keep us aligned.
- Well‑Being: Flexible hours, mental‑health resources, and a supportive leadership team prioritize work‑life balance.
- Diversity & Inclusion: A commitment to building a workforce that reflects the diverse pet‑owner community we serve.
Compensation, Perks & Benefits
talentedge offers a competitive hourly rate of $25 per hour, along with a comprehensive benefits package that includes:
- Health, dental, and vision insurance with employer contributions.
- 401(k) retirement plan with matching contributions.
- Generous paid time off and holidays.
- Remote‑work stipend for home office setup, internet, and ergonomic equipment.
- Professional development budget for conferences, courses, and certifications.
- Employee assistance programs and wellness initiatives.
How to Apply
If you are passionate about turning data into strategic advantage and thrive in a remote, collaborative environment, we want to hear from you. Click the link below to submit your application and join talentedge’s mission to make pet care easier and more delightful for millions of families.
Apply Now – Become a Data Scientist at talentedge!
Closing Statement
At talentedge, your analytical talent will directly influence the experiences of pet owners nationwide. Join a forward‑thinking team where your ideas are valued, your growth is supported, and your work makes a tangible difference every day. Take the next step in your career—apply today and help shape the future of pet‑care analytics.
Apply for this job