Data Science Practitioner
KeySkills
Company Name
Job Description
Job Description:
We are seeking a skilled and analytical Data Science Practitioner to join our AI/ML team. The ideal candidate will possess expertise in data science, machine learning, and statistical modeling, and will work collaboratively with cross-functional teams to build solutions that generate measurable business value. You will also evaluate the performance and ROI of AI-based initiatives in alignment with strategic goals.
Roles & Responsibilities:
Design and develop AI/ML models to support data-driven decision-making
Collaborate with business stakeholders to define project objectives, requirements, and KPIs
Analyze large, complex datasets using Python, R, or similar tools to derive insights
Perform feature engineering, model tuning, and validation to ensure optimal performance
Create intuitive data visualizations and dashboards to communicate results to stakeholders
Contribute to team discussions and become a Subject Matter Expert (SME) in assigned projects
Support model deployment and monitor real-world performance to ensure business relevance
Document processes, methodologies, and findings in a structured and repeatable format
Professional & Technical Skills:Must-Have Skills:
Proficiency in Data Science concepts and workflows
Strong understanding of machine learning algorithms (e.g., regression, classification, clustering)
Hands-on experience with Python, R, NumPy, Pandas, scikit-learn, or similar libraries
Ability to handle and analyze large datasets, perform statistical analysis, and data wrangling
Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn
Understanding of AI model performance metrics and business value estimation
Good-to-Have Skills:
Knowledge of cloud platforms (AWS, GCP, Azure) and ML deployment pipelines
Experience with deep learning frameworks (TensorFlow, PyTorch)
Familiarity with SQL, NoSQL, and Big Data tools (Spark, Hadoop)
Exposure to A/B testing, predictive modeling, and time-series forecasting