About the Role:
We are looking for a mid-level Data Scientist with strong machine learning expertise to join our growing AI & Analytics team. As a Data Scientist II, you will play a key role in developing, deploying, and scaling machine learning models to solve real-world business challenges. You’ll work cross-functionally with engineers, analysts, and product managers to transform data into actionable intelligence.
Key Responsibilities:
- Design, implement, and evaluate machine learning models for classification, regression, recommendation, or clustering problems
- Conduct data wrangling, feature engineering, and exploratory analysis on structured and unstructured datasets
- Collaborate with data engineers to build pipelines and deploy models into production environments (batch or real-time)
- Track and monitor model performance and ensure ongoing accuracy and fairness
- Contribute to A/B testing design, causal inference studies, or other model validation efforts
- Present technical findings and recommendations to stakeholders in a clear, actionable format
- Stay up-to-date with the latest research and best practices in ML and AI
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field
- 3–5 years of experience in data science or applied machine learning
- Proficiency in Python and relevant ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM, etc.)
- Solid understanding of statistical modeling, supervised/unsupervised learning, and model evaluation techniques
- Strong SQL skills and familiarity with data querying from relational databases or data warehouses
- Experience working with Git, Jupyter notebooks, and ML workflow tools
Preferred Qualifications:
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Familiarity with MLOps tools like MLflow, SageMaker, Kubeflow, or Airflow
- Working knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Exposure to NLP, time-series forecasting, or recommendation systems
- Ability to work in agile environments and cross-functional teams
What We Offer:
- Competitive salary with performance bonuses and equity options
- Comprehensive health, dental, and vision benefits
- Remote-friendly, flexible work environment
- Learning & development budget and access to conferences/certifications
- A collaborative, high-impact team culture that values experimentation and innovation
How to Apply:
📩 Please send your resume and an optional portfolio or GitHub link to: careers@[yourcompany].com
Subject: Data Scientist II – Machine Learning – [Your Name]
🗓️ Applications reviewed on a rolling basis