Job Description
Contribute to the design and prototyping of analytic engines and services with a foundational understanding of machine learning, data mining, and information retrieval conceptsJob ResponsibilitiesDevelop statistical models and algorithms through the use of libraries and abstractionsConducts explority data analysisCreate value out of various datasetsProvide insights to BI and BA to further exploit and present their models.Apply advanced analytical techniques such as machine learning and artificial intelligence in order to derive business value.Conduct data discovery for inclusion in models.Proficiency in a programming toolset (for e.g, Python, R) for data manipulation and basic data analysis tasks.Grow in knoweldge of latest tools and techniques with guidance from senior team members.Able to query and pre-process (wrangle/munge) data.Collaborates with senior data scientists/analysts/engineers to implement and deploy scalable solutions.Implement and maintain ML models and algorithms that drive innovation throughout the organization.Conduct self-development through researching best practices, conducting experiments, and collaborating with industry leaders.Monitor and maintain models in production and re-train if necessary.Support the achievement of the business strategy, objectives and values.Stay abreast of developments in field of expertise.Ensure personal growth and enable effectiveness in performance of roles and responsibilities.
Responsibilities + Skills
Education
Engineering Qualification,Computer Science,Econometrics,Mathematical Statistics,Actuary ScienceMasters or Doctorate will be an added advantage
Experience
Cursory knowledge of machine learning, statistics, optimization or related fieldExperience with R, Python, Matlab is required, programming in C, C++, JavaExperience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)Excellent written and verbal communication skills along with strong desire to work in cross functional teams