Data Science Specialist - Growth, Marketing & Sales

Analytics Data Science Specialist - Growth, Marketing & Sales Job ID: 93925 Are you driven by the opportunity to tackle complex challenges and work alongside top leaders? If so, you've come to the right place. Who You'll Work With You'll be working in one of our offices in North America within our Growth, Marketing & Sales practice. The Growth, Marketing & Sales Practice strives to help clients in both consumer and business-to-business environments on a wide variety of marketing and sales topics. Our clients benefit from our experience in core areas of marketing such as branding, customer insights, marketing ROI, digital marketing, CLM, pricing, and sales and channel management. Our Practice offers an exceptional opportunity to work at the intersection of marketing, sales and consulting. Focusing on issues like redefining marketing and sales operations and commercial transformation, our people help clients build capabilities and transform how companies go to market - moving them to customer centric organizations. Your impact within our firm You will collaborate with colleagues and clients to create new strategies across a wide platform of projects, from customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, to analytic transformation. In this role, you will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic innovative organization. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients' marketing practices. Through the measurement, manipulation, reporting and dissemination of broad sets of data, you will create valuable, transformative business strategies. You'll apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. As a core member of the consulting team, you'll conduct deep analytics on a broad set of client and external data and play a lead role in team problem solving through findings and insights from that analysis. You'll also have the opportunity to lead and support the development of knowledge for our firm's analytics group. You may do this by creating a roadmap for a greater understanding of analytics and its impact in the consulting population or by partnering with other analytics consultants to ensure timely and effective methods on the extraction, assembly and transfer of broad, complex sets of data. Your qualifications and skills Advanced degree (MS, PhD) in economics / mathematics / physics / statistics / operations research and/or 4+ years of experience with advanced analytics and statistical techniques such as multivariate regression / predictive modeling, classification and regression tree (CART/CHAID), factor analysis, correspondence analysis, clustering, discriminant analysis, and Random Forest. 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 communication skills with demonstrated ability to present in clear and concise manner. 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. Ability to travel up to 60%. Additional Information Please review the additional requirements regarding essential job functions of McKinsey colleagues. Equal Opportunity Statement FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. Salary and Benefits Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $192,000 - $192,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest (salary/hourly wages) for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. For Non-U.S. Applicants McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. #J-18808-Ljbffr

Created: 2025-01-14