Associate Director - Data Science

2020-06-22 | po-020092

Company description

This top tier consulting company partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. They are the pioneer in business strategy and help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. Their global teams bring deep industry and functional expertise and a range of perspectives to spark change. They deliver solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. They work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

Responsibilities

1. Combine innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise.

2. Work with world-class data scientists and business consultants who specialize in the use of advanced analytics to get breakthrough business results.

3. Own the full analytics value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions.

4. Have the chance to work with clients in every region and every industry area.

5. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of industries.

6. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

Requirements

1. Recent PhD or Master’s Degree in computer science, applied mathematics, statistics, machine learning, or other data centric disciplines with 12+ years of relevant industry work experience providing advanced analytics solutions strongly preferred.

2. Strong record of extracurricular activity, professional accomplishment, and leadership.

3. Additional experience in core analytic methods such as predictive modeling, customer segmentation/clustering, network analysis, supply chain optimization, etc.

4. Fluency in at least one scripting language (e.g. Python, R, SAAS , STATA).