About the Role:
We are looking for a highly skilled and strategic Senior Data Scientist to lead complex, high-impact analytics initiatives. In this role, you’ll work cross-functionally to solve business-critical problems using advanced statistical modeling, machine learning, and data storytelling. You’ll mentor junior team members and help shape the future of data-driven decision-making across the organization.
Key Responsibilities:
- Lead the development and deployment of predictive models, classification systems, and recommendation engines
- Collaborate with stakeholders to frame open-ended business problems into well-defined data science projects
- Design and execute experiments (A/B tests, uplift modeling, causal inference) and interpret results to drive actionable insights
- Analyze large, complex datasets using tools such as Python, R, SQL, Spark, or similar
- Present findings and recommendations to technical and executive audiences using compelling storytelling and data visualizations
- Contribute to data architecture and model monitoring to ensure performance and scalability in production environments
- Mentor and guide junior data scientists and analysts within the team
- Stay current with new techniques in ML/AI and apply best practices to real-world problems
Required Qualifications:
- Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or related field
- 5–8 years of professional experience in data science or machine learning roles
- Strong expertise in statistical modeling, supervised and unsupervised learning, and experimental design
- Proficiency in Python (scikit-learn, pandas, numpy), R, SQL, and data visualization tools (e.g., Tableau, Plotly, Power BI)
- Experience working with cloud platforms (AWS, GCP, Azure) and large-scale data processing (e.g., Spark, Hadoop)
- Excellent communication, problem-solving, and project leadership skills
Preferred Qualifications:
- Experience deploying models to production environments (MLOps, model monitoring)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
- Domain experience in fintech, healthcare, retail, SaaS, or marketplaces
- Experience with NLP, computer vision, or graph-based models is a plus
What We Offer:
- Competitive salary with equity and performance bonuses
- Flexible remote/hybrid work options
- Comprehensive health, dental, and vision coverage
- Annual learning and development budget
- A mission-driven, collaborative, and data-forward work culture
- Opportunity to work on challenging, meaningful problems at scale
How to Apply:
📩 Send your resume and portfolio or GitHub link (if available) to: careers@[yourcompany].com
Subject: Senior Data Scientist Application – [Your Name]
🗓️ Applications are reviewed on a rolling basis