Data Science Developer

Job description

**Role & responsibilities** - Must have 6+ 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. **Preferred candidate profile** - 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. **1. Machine Learning requirement** **2. Python Programming and Scripting**