Data Science Professionals

Job highlights

• . 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

• Should come up with the work estimation and should provide inputs to managers on resource and risk planning

• 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