Advanced Data Science Associate Consultant

Posted 2 Days Ago
Be an Early Applicant
Ciudad Autónoma de Buenos Aires
Hybrid
Entry level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Develop advanced and efficient algorithms, collaborate with clients, assess emerging datasets, contribute to thought leadership, provide mentorship, and have a PhD in Computer Science or relevant field.
Summary Generated by Built In

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 an d 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.
Advanced Data Science Associate Consultant
What You'll Do

  • Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
  • Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
  • 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.


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.
Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.
To Complete Your Application:
Candidates must possess 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

Top Skills

Java,Python,R

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
The Company
HQ: Evanston, IL
13,000 Employees
Hybrid Workplace
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983, ZS has more than 13,000 employees in over 35 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
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