Data Science Analyst - University Students - Marketing & Sales 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 in our global B2B commercial solutions team.

You will closely collaborate with product managers, solution leaders, expert consultants from our B2B commercial solutions teams and from our global Marketing and Sales practice. B2B commercial solutions are part of our Marketing & Sales Solutions. Marketing and 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 and 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. In this role, you will act as an analytics translator and as an owner of advanced pieces of analytics code. You will have a strong understanding of the design and development process of data analytics tools and experience working with data engineers.

You will be exposed to new cutting edge technologies and solve complex data processing problems to help bring the latest tools/platforms into our Operations 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

• University student in the final year of a master's degree in a quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required

• 1-3 years of hands-on mathematical modeling experience in a business environment

• Proficiency in Python

• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)

• Proven experience in working with large datasets and relational databases (SQL)

• Knowledge of additional programming languages is a plus (C++, Java)

• Intellectual curiosity along with excellent problem-solving and quantitative skills including the ability to disaggregate issues, identify root causes and recommend solutions

• Proven leader with the ability to inspire others, build strong relationships and create a true followership, result-driven achievers

• Strong people skills, team-orientation and a professional attitude

• Distinctive communications skills; ability to communicate analytical and technical content in an easy to understand way