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Advanced Data Science Manager - RC26 (Evanston, IL)

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Hybrid
Evanston, IL, USA
215K-255K Annually
Senior level
Hybrid
Evanston, IL, USA
215K-255K Annually
Senior level
Manage and guide data science projects, lead teams, develop analytics strategies, and foster client relationships to drive business impact.
The summary above was generated by AI
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
Advanced Data Science Manager
Salary: $215000 to $255000 per year
Location: Evanston, IL and various, unanticipated locations throughout the United States.
Benefits: Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.
Job Role and Responsibilities: Directly oversee, manage, and provide technical and quantitative guidance to junior team members, including degreed Associates, Associate Consultants and Consultants in the United States using knowledge of an advanced level of skill in data science, business analytics, quantitative methodologies, algorithms and data structures, modeling, and statistical analysis (15%). Direct all aspects of data science-oriented project acquisition and project management using business analytics and/or scientific software and operating systems while applying mathematical and deductive reasoning (15%). Liaise with Project Leadership to define the project scope and budget and develop data analytics strategies using Big Data, advanced analytics, and algorithms, including text mining, social listening, recommended systems or predictive modeling (15%). Manage client relationships to drive new business development and ensure long-term strategic partnerships (10%). Manage both internal and external team communications, including directing internal team status meetings and communicating any changes in deadlines, scope, and timing with client project managers (10%). Provide data analytics innovation within projects and practice areas, advising internal groups and leading initiatives on business operations excellence (10%). Develop data science capabilities and offerings that create scale and advance ZS's analytic platform using Java, Python, R, or related programming language as well as Agile project planning and project management (15%). Supervise business and strategy development activities from a data science/statistics perspective and cultivate and expand client relationships (5%). Direct recruiting, training, coaching, mentoring, HR-related policies (leave, Performance Improvement Plans, etc.) for subordinates and provide developmental opportunities for team members (5%). May work in various, unanticipated locations throughout the United States. Position may require up to 25% domestic travel.
Contact: Apply online or contact ZS at [email protected] referencing the Req ID above. Position eligible for Employee Referral Program (with incentives). Multiple openings.
Qualifications: Master's degree, or foreign degree equivalent, in Applied Mathematics, Engineering, Business Analytics or a related field and four (4) years of data analysis experience. Alternatively, employer will accept a Bachelor's degree in Applied Mathematics, Engineering, Business Analytics, or a related field and six (6) years of data analysis experience.
With either requirement, position requires experience with: 1. Agile project planning and project management; 2. Java, Python, R, or related programming language; 3. Big Data, advanced analytics, and algorithms, including text mining, social listening, recommender systems or predictive modeling; 4. Hadoop ecosystem or related database system; and 5. Team management.
How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States , visit ZS US office locations | Where we work | ZS .
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
#LI-DNI
Salary: $215,000.00 - $255,000.00

Top Skills

Big Data
Hadoop
Java
Python
R
HQ

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