Data Science Intern

CCC

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Data Science Consultant Intern

Summary

Theintern will design, develop and executeanalytic techniques on large, complex, structured and unstructured data sets(including big data) to help clients make better fact-based decisions. Data Science Consultant (DSC) will research and develop new offerings/solutions, deliverclient impact by collaborating to deliver client solutions. The candidate willneed to be able to work on multiple concurrent projects, anticipate obstacles,and make high quality deliveries. The candidate must also be a team player thatis self-motivated and has excellent communication skills.

Responsibilities:

•Develop advanced algorithms that solve problems of large dimensionality in acomputationally efficient and statistically effective manner;

•Execute and teach application of statistical and data mining techniques (e.g.hypothesis testing, machine learning and retrieval processes) on large,unstructured data sets to identify trends, figures and other relevantinformation;

•Lead conversations with clients and other colleagues to effectively integrateand communicate analysis findings;

•Evaluate emerging datasets and technologies and help define our analyticplatform;

•Contribute to thought leadership through research and publication;

Qualifications

•This is an entry-level position, a Bachelor or Master’s degree in quantitativediscipline is preferred. Candidates from other areas with great skillsets arealso welcome.

•Understanding of statistics (e.g., Bayesian, Frequentist, etc.); extensiveexperience with running statistical analyses using a variety of methods todrive decisions.

•Professional experience with advanced regression analysis, probabilisticmodeling, and/or machine learning / predictive analytics, including the abilityto use tools like Python, R, etc.

•Understanding of relevant tools/platforms (e.g. database systems);

•Understanding of Agile project planning and project management;

•Team management and skill development experience;

•Excellent oral and written communication skills;

•Strong attention to detail, with a research-focused mindset;

•Excellent critical thinking and problem-solving skills;

•High motivation, good work ethic and maturity.