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Oliver Wyman - Sr. Lead Data Scientist or Principal Data ScientistOliver Wyman • Dallas, Texas, United States
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Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist

Oliver Wyman
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
Jetzt Bewerben

Über

Lead Data Scientist – Locations: Boston, Chicago, New York, Dallas, Toronto, Montreal The Role And Responsibilities
Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the model‑building journey Keeping up with the domain’s state‑of‑the‑art and familiarizing with emerging modelling and data engineering methodologies Advocating best practices in modelling, code hygiene, and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities
Your Experience & Qualifications
Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large‑scale technical solutions that deliver tangible, ongoing value, including:
Building and deploying robust, complex production systems that implement modern data‑science methods at scale (supervised and unsupervised learning) Leveraging cloud‑based infrastructure‑as‑code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enable rapid deployments Demonstrating comfort and poise in time‑boxed environments where rapid design decisions are required
Fluency in modern programming languages for data science (e.g., Python) covering the full ML lifecycle using open‑source libraries:
Knowledge of one or more machine‑learning frameworks such as Scikit‑Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud‑first considerations for Azure and AWS History of side projects or contributions to the open‑source community (valued but not required)
Solid theoretical grounding in the mathematical core of data science:
Deep understanding of a class of modelling or analytical techniques (e.g., Bayesian modeling, time‑series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science – statistics, linear algebra, and vector calculus
Experience presenting at high‑impact data‑science conferences and solid connections to the data‑science community (e.g., meetups, academic relationships) highly valued Interest/background in financial services, capital markets, healthcare and life sciences, consumer, retail, energy, or transportation industries
Your Attributes
An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients’ problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings
Our Values & Culture
Rewarding work – our reputation for high‑quality work and strong client relationships creates challenging, supportive, and recognized projects Progressive employment – flat structures, I&D values, and merit‑based progression with healthcare, 401k matching, and continuous improvement Enjoyable days – focus on career growth, mentoring, and community work during company time Balanced lives – flexible hours, work‑from‑home options, and work‑life balance support
Competitive total rewards package includes health and welfare benefits, tuition assistance, 401K savings, and employee assistance programs. Base salary range: $150,000 – $195,000. Position may be eligible for performance‑based incentives. Oliver Wyman is an equal opportunity employer. We are committed to diversity, equity, and inclusion. #J-18808-Ljbffr
  • Dallas, Texas, United States

Sprachkenntnisse

  • English
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