Data Science Specialist - B2C Solutions

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

WHO YOU'LL WORK WITH

You will be based in our Atlanta, Dallas, New Jersey or Waltham office as part of our Marketing & Sales Solutions team in North America. You will be integrated into our global B2C Solutions team.

You will closely collaborate with product managers, solution leaders, expert consultants from our B2C solutions teams and from our global Marketing & Sales practice. B2C solutions are part of our Marketing & Sales Solutions. Marketing & Sales Solutions are among McKinsey’s largest and best-performing solutions, with a global team of over 800 people, supporting over 500 clients per year with innovative analytics and solutions. Marketing & Sales solutions are widely acclaimed by analysts as being best in class.

WHAT YOU'LL DO

You will be involved in codifying our best analytics expertise into a centralized library and methodology, and delivering that library to clients.

Leveraging your advanced data analysis skills, you will create innovative approaches to answer our clients’ most relevant questions around commercial topics and ensure that these approaches are codified and can be re-used. You will act as an analytics translator and as an owner of advanced pieces of analytics code. You will be exposed to new cutting edge technologies and solve complex data processing problems to help bring the latest tools/platforms into our practice. You will also help build our teams by collaborating with others across the practice and beyond as well as mentoring younger tenured colleagues.

QUALIFICATIONS

• Undergrad degree with 5+ years of experience with advanced analytics and statistical techniques; advanced degree (MS, PhD) in economics, mathematics, physics, statistics, operations research with 2 years of experience

• Experience in driving sales excellence and using analytics to advance commercial outcomes

• Experience designing and running “agile” analytics programs that prove business impact even in absence of well-structured data

• Confidence dealing with less-than-perfect data (e.g., cleaning, fusing, extrapolating)

• Experience in mixed modeling and working with big data techniques is desirable

• Experience in probability theory, optimization techniques and optimization algorithms

• Familiarity with advanced analytics software tools (e.g. Python, R, SPSS, Alteryx)

• Ability to identify implications and drive toward business recommendation

• Strong multi-tasking abilities, flexibility and patience in a fluid environment

• Team oriented and collaborative approach in working across teams and clients

• Passion for analytics and problem solving

• Strong communication skills with demonstrated ability to present in clear and concise manner
• Ability to travel up to 25%