Senior Data Scientist
hace 6 días
**Who Are We?**
Welcome to **Welltech**—where health meets innovation As a global leader in **Health & Fitness industry**, we’ve crossed over **220 million installs** with three life-changing apps, all designed to boost well-being for millions. Our mission? To improve the health of millions of people through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over **750+ passionate professionals with a presence across 5 hubs**.
**Why Welltech?** Imagine joining a team where your impact on global health and wellness is felt daily. At Welltech, we strive to be proactive wellness partners for our users while continually evolving ourselves.
**What We're Looking For**
We are looking for an experienced Senior Data Engineer to join the core Machine Learning team within a product-focused company. Our mission is to design and deploy impactful machine learning solutions that enhance decision-making and automate key business processes. We work closely with stakeholders across the company and take ownership of end-to-end ML systems — from raw data to deployed models and monitoring.
**Key Responsibilities**:
- Design and deploy ML models that support critical business functions such as LTV prediction, user classification, personalization, and content tagging.
- Analyze product and marketing performance using statistical and ML techniques to support data-driven decision-making.
- Develop models for processing unstructured data: user reviews, feedback, support tickets (NLP), and creative assets (computer vision).
- Contribute to the design and evolution of content recommendation systems and personalization logic.
- Build internal tools and dashboards to increase model transparency and accessibility for business teams.
- Monitor model performance and support the full model lifecycle: retraining, error analysis, version control.
- Collaborate with data engineers to validate new features, contribute to pipeline standardization, and support data readiness for production use.
- Provide analytical support to marketing teams: metric design, experiment planning, evaluation, and modeling impact.
**Required Skills**:
- 4+ years of experience in Data Science or product analytics involving machine learning.
- Strong proficiency in Python and SQL; hands-on experience with core DS/ML libraries such as NumPy, Pandas, Scikit-learn, and XGBoost.
- Solid understanding of statistics, experimental design (A/B testing, uplift modeling), and causal inference.
- Proven experience developing, evaluating, and interpreting ML models for real business problems — including classification, regression, recommendation systems, NLP, and **computer vision**.
- Practical experience building and maintaining end-to-end ML pipelines: data preparation, feature engineering, training, validation, deployment, and monitoring.
- Hands-on experience with AWS services, especially SageMaker, Glue, Redshift, and Lambda.
- Familiarity with MLOps practices: model versioning, CI/CD, automated retraining, and monitoring.
- Strong collaboration skills and the ability to work closely with product managers, analysts, and engineers.
- Experience analyzing user behavior, running segmentation, and evaluating marketing or product experiments.
**Nice to Have**:
- Experience with recommendation systems or personalization.
- Background in **Marketing Science**: media mix modeling (MMM), attribution models, ROI estimation, uplift modeling.
- Applied experience in NLP or computer vision (e.g., content classification, creative decomposition).
- Familiarity with reinforcement learning or contextual bandits for optimization and personalization.
- Experience with Docker, Airflow, and Terraform.
- Interest in model interpretability and explainability tooling.
**Tech Stack**:
Python, SQL, DBT, AWS (SageMaker, Glue, Lambda, Redshift, Spectrum), Docker, Airflow, GitLab, Terraform, Flask, Streamlit.
**Why You’ll Love Being Part of Welltech**:
- ** Grow Together**: Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together.
- ** Lead by Example**: No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact.
- ** Results-Driven**: We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day.
- ** We Are Well-Makers**: Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality
**Check out some of our products
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