Job Objective
We are seeking a skilled and business-focused Data Scientist to develop in-house AI and Data Science solutions that drive measurable business value and foster AI adoption across the organization. This role is ideal for someone who thrives at the intersection of data, technology, and business strategy.
Job responsibilities
• Identify high-impact business areas where data science can deliver value. • Analyze large volumes of structured data to uncover insights and opportunities. • Apply advanced machine learning techniques including supervised, unsupervised learning, forecasting, and deep learning.
• Collaborate closely with business stakeholders to understand functional challenges and communicate solutions in business-friendly language.
• Work independently and in collaboration with external vendor teams to deliver scalable solutions.
• Contribute to the development of a future internal data science team.
Performance Metrics
Success in this role will be measured by the business value generated through data science initiatives and solutions.
Must Have Educational / Professional Qualifications
Primary Skills:
• Programming: Proficiency in Python, PySpark, and SQL.
• Platforms & Tools: Experience with Azure (preferred) or other cloud platforms. • ML Techniques: Strong grasp of supervised/unsupervised learning, forecasting, and deep learning.
• Familiarity with unstructured data processing
• Domain Experience: Preferable experience in one or more of the following domains: Manufacturing, Supply Chain, Finance, Logistics.
• 4-6 years of relevant experience.
Additional Skills:
• Basic understanding of data warehousing concepts such as star schema, ETL/ELT processes.
• Familiarity with data lake or lakehouse architecture.
• Visualization skills including exploratory data analysis (EDA), basic dashboard creation for business reporting, and effective communication of model results and insights. • Experience with either Python-based visualization libraries (e.g., Matplotlib, Seaborn, Plotly) or BI tools (e.g., Power BI, Tableau)
Preferred Qualifications:
• Azure Data Science certifications or equivalent certifications in tools like TensorFlow. • Exposure to MLOps practices and tools.
• Bachelor’s or master’s degree in information technology, Computer Science, or a related field.