**Role** \*\* Data Science (Machine Learning) **Required Technical Skill Set\*** \* **Data Science, Python, SQL** **Desired Experience Range** \*\*: **4 -10 Years** **Location of Requirement :** **Desired Competencies (Technical/Behavioral Competency)** **Must-Have\*\*** **(Ideally should not be more than 3-5)** - Must have 4+ years of IT experience - Should have the capability to understand requirements and convert to design and provide pass the same seamlessly to the team who is working on the same. - Extensive knowledge on statistical and analytical analysis - Knowledge of validated approaches for scale-ability, productionalizing models and implementing machine learning applied to expansive and diverse datasets. - Experienced user of machine learning and statistical-analysis libraries, such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc. - Area of expertise in forecasting and basics of data engineering. - An inquisitive mindset and strong analytical skills for complex problem solving, and an aptitude for learning systems quickly. **Good-to-Have** - Excellent interpersonal, organizational, written & oral communication and listening skills. - Should come up with the work estimation and should provide inputs to managers on resource and risk planning. - Strong knowledge and hands-on experience on Unix shell scripting - Ability to coordinate with SMEs , stakeholders, manage timelines, escalation & provide on time status - Familiarity with state-of-the-art cloud technologies such as AWS, GCP, Kubernetes, container is a plus. **Responsibility of / Expectations from the Role** 1. **Machine Learning requirement** 2. **Python Programming and Scripting**