Senior Data Scientist

Skill Set

• Master’s degree in Statistics, Mathematics or Computer Science and 6 or more years of professional experience or can convincingly demonstrate this level of skill.
• Expertise with statistical computer languages including R and Python.
• Expertise with relational database systems (SQL), object-based data stores and distributed data stores.
• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
• Production grade experience in designing, implementing, and deploying machine learning models at enterprise scale.
• Excellent interpersonal skills.
• Drive to learn new technologies, statistical methods, and data manipulation techniques.
• Strong experience in telecommunications and financial service domains.

Preferred

• PHD in Statistics, Mathematics, Computer Science or Artificial Intelligence.
• Experience supervising or leading a team of data scientists and/or engineers.
• Experience with distributed data systems such as Apache Hadoop or Apache Spark.
• Expertise in analyzing large, complex, multi-dimensional datasets with a variety of tools.
• Proficiency in Linux and version control software (git).
• Familiarity with Object Oriented programming languages such as Java, C#, or C++.
• Familiarity with Agile / Scrum development practices.

About the Role

Open Insights is a Global Data firm that specializes in strategizing and implementing Data-As-A-Service. Our Data Ninjas help organizations understand and generate value from their data, this leads to improved revenues whilst using open-source technologies reduces costs.

Open Insights operates across the world, with current operations in the United States, India, South Africa, Chile, United Kingdom, Middle East, and Europe. Open Insights was founded by Dr. Usama Fayyad to help change the world of Data and what it means for data to be an asset in an organization. Our team includes top experts in Analytics and Insights, Big Data Technology and Data Integration, Data Activation and Customer Retention and a team of data science and applied machine learning experts.

Responsibilities

YOU’LL BE RESPONSIBLE FOR:

• Designing and overseeing the development of machine learning models and advanced analytical solutions.
• Working closely with clients and management teams to ensure project deliverables are met.
• Supporting the development of technical, training, and business-related documentation.
• Leading analytic practices, design, and development cycles.
• Working with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas
• Supervising the development of new solutions that will become part of the Open Insights DaaS products.
• Generating and presenting reports and analysis of model quality.
• Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
• Collaborating with teammates across the product development organization.
• Leading the design of solution architecture and relevant software development efforts.
• Applying knowledge of computer science and artificial intelligence on large, complex, and multi-dimensional datasets.
• Engaging with clients to draft Statements of Work, assessment sheets and leading deep dive sessions.

Requirements

YOU MUST HAVE:

• Master’s degree in Statistics, Mathematics or Computer Science and 6 or more years of professional experience or can convincingly demonstrate this level of skill.
• Expertise with statistical computer languages including R and Python.
• Expertise with relational database systems (SQL), object-based data stores and distributed data stores.
• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
• Production grade experience in designing, implementing, and deploying machine learning models at enterprise scale.
• Excellent interpersonal skills.
• Drive to learn new technologies, statistical methods, and data manipulation techniques.
• Strong experience in telecommunications and financial service domains.

Benefits

Immediate joiners are preferred.