Senior Data Scientist

Short Description

Mckinsey is seeking for Senior Data Scientist who has good experience with R or Python and background in programming in C, C++ and Java is beneficial. Also have decent written and verbal communication skills along with strong desire to work in cross-functional teams.

Job Description

Responsibilities and Educational Qualifications:
  • MS/PhD in computer science, statistics, economics, mathematics, ops research or related technical discipline.
  • Deep knowledge of machine learning, statistics, optimization or related field.
  • Experience working with large data sets, simulation/optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.).
  • Professional attitude and service orientation; superb team player.
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace.
  • 4+ years experience in a statistical and/or data science role.
  • Experience with R or Python is required. Background in programming in C, C++, Java is beneficial.
  • Experience working in startup environment or organizations with an agile culture.
  • Decent written and verbal communication skills along with strong desire to work in cross-functional teams.
  • Attitude to thrive in a fun, fast-paced startup like environment.

Senior Data Scientist
Mid-Senior-level Information Technology | Technology | Information Full-time Information Technology | Other Data Science | Data Scientist | Research Scientist
McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. 

We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world. 

We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.
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