Data Scientist

Job Summary

We are looking to hire an experienced data scientist who can help in building advanced analytics and cognitive/ AI solutions. He/ she must be an experienced hands-on expert and must have experience in building solutions/ POC’s for customers during pre-sales and delivery.

Education/Qualification

Bachelor's degree in Computer Science, Data science, Mathematics, Statistics or a related field.
Master’s degree in Data Science or equivalent relevant business or technical discipline will be a plus.

Roles And Responsibilities

Implements solutions to complex problems using Machine Learning
Establishes customer-focused analytics capabilities through visioning, leadership, and mentoring.
Challenges status-quo and discovers improvement opportunities in systems, processes and enterprises through data analytics thereby helping clients get more out of their investments.
Generates reports for decision-making using data visualization and data mining Leads innovation by applying data analysis skill sets to develop cutting edge solutions
Establishes and maintains collaboration with other internal teams to apply cloud computing capabilities for the application of production and proprietary algorithms.
Provide guidance and on-the-job training to data science team members with issues needing technical expertise or complex systems and/ or programming knowledge.
Provide technical training to external team members to foster stronger cross-departmental relations.
Stay abreast with the advancements in the fields of Artificial Intelligence and Machine Learning.

Required Skills

5-8 years of experience in data science, data analysis, and/or a related field.
Advanced proficiency in Python in working with machine learning and statistical modules/packages.
Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Proficiency in work with open-source deep learning libraries like OpenCV, TensorFlow, Keras, Pytorch etc.,
Experience in building models, including data extraction and cleansing, feature selection and engineering, and model selection/ validation.
Strong communication competencies including presentation and delivery of complex quantitative analyses in a clear, concise, and actionable manner to extended team and groups of key stakeholders.
Demonstrated expertise of solution development during pre-sales & delivery including excellent documentation skills.