Advanced Data Science Associate Consultant

hace 2 semanas


Buenos Aires, Argentina ZS A tiempo completo

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**ZS** is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. 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.

**Our most valuable asset is our people**.

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 part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

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**Advanced Data Science Associate Consultant**

**What You’ll Do**
- Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
- Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate
- Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
- Engage in the development of specific assets/accelerators that foster scalability.
- Contribute to advancing thought leadership through research support and publication assistance.
- Provide guidance and mentorship to Associate team members.

**What You’ll Bring**
- A PhD Degree in Computer Science, Statistics, or a relevant field or a master’s degree with 3-5 years of relevant post-collegiate work experience;
- A robust academic performance with coursework emphasizing analysis and quantitative skills.
- A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
- A proficiency in at least one programming language (e.g., Java/Python/R).
- Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
- A proficiency in agile project planning and project management techniques.
- Prior leadership experience from a relevant position.
- Fluency in English.

**Additional Skills**:

- Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.
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**Perks & Benefits**:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

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?**

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**:
NO AGENCY CALLS, PLEASE.

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