Software Engineer: Data Science

Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable machine learning applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery.

What you will be doing:

• Understanding the customer experience business use cases and technical requirements and being able to convert them into a technical design that elegantly meets the requirements.
• Implementation of sophisticated analytics programs, machine learning, and statistical methods to prepare enterprise data for use in predictive and prescriptive modeling.
• Accountable for the data science platform design in addition to the use of case-based application solution design.
• Work on complex unstructured datasets using advanced statistical and analytical methods.
• Work closely with other technical and operational functions to gather, organize and analyze datasets to extract meaningful insights.

Who you are and what you bring:

• MS or Bachelors in Computer Science, Math, Machine Learning, or a relevant field with 4+ yrs. of experience in industry and/or academic research
• Strong Experience in Python for Data Science, Data Science on AWS, Data Science solutions, Communication and Collaboration, Statistics & Probability.
• Ability to design and implement workflows of Linear & Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python or Optimisation methodologies
• Demonstrable competency in Probability & Statistics, ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests.
• Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
• Hands-on experience in using statistical and analytical techniques to complex business problems.
• Hands-on experience in solving regression, prediction, classification, clustering, neural networks, and Bayesian problems.
• Advanced knowledge of statistical techniques, machine learning algorithms, Bayesian Models, data mining, and text mining.
• Experience in handling large datasets on cloud and on-premises setup, using distributed computing.
• Able to understand various data structures and common methods in data transformation.
• Strong Programming background and expertise in building models in languages like Python, R, Scala, etc.
• Good knowledge of visual techniques for data analysis and presentation skills
• Strong troubleshooting skills in different disparate technologies and environments
• Enthusiastic about different areas of work and exploring new technologies
• Clarity of thought and strong communication skills to effectively pitch solutions
• Ability to explore and grasp new technologies
• Mentoring your team members in projects and helping them keep up with new technologies
• Empowering the team members to be solution providers and enable a flat environment where every ones point of view is considered, and feedback is encouraged.