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À propos
Your Title Data Scientist
Location Enact Headquarters, Raleigh, NC – Hybrid Schedule
Your Responsibilities
Collaborate with partners across operations, marketing, products/customer experience, pricing, risk, and other functions to define problems and deliver analytic solutions.
Research business processes and proactively identify opportunities for analytics, modeling, and decision automation.
Design, build, validate, and evolve supervised and unsupervised machine learning models using established methodologies such as Logistic Regression, Random Forests, Gradient Boosting, and Support Vector Machines.
Advance customer behavioral segmentation and predictive models to support business strategy and execution.
Design and implement advanced analytics and forecasting models, ensuring robustness, interpretability, and business relevance.
Perform recurring reporting and build dashboards (Tableau) to enable insight-driven decision making.
Partner with IT and Enterprise Data Management teams to ensure scalable, reliable, and governed analytics solutions.
Contribute to identifying, evaluating, and responsibly applying Generative AI opportunities across analytics use cases.
Mentor peers and support ad-hoc analytic requests as needed.
Your Qualifications
Bachelor’s degree required.
6+ years of experience in data science, advanced analytics, or business analytics.
Strong background in statistical modeling and machine learning, with hands‑on experience applying common algorithms in production or business environments.
Experience with Python, Spark, SQL, and cloud platforms (AWS).
BI and dashboarding experience (Tableau preferred).
Strong Generative AI knowledge and demonstrated interest, including awareness of model capabilities, limitations, and responsible use considerations.
Strong communication skills with the ability to translate analytical results into clear, actionable insights for business partners.
Demonstrated ability to influence stakeholders and collaborate effectively across functions.
Preferred Qualifications
Master’s or PhD in a quantitative field.
Experience modernizing analytics platforms or data science workflows.
Preferred experience with Snowflake.
Knowledge of time‑series forecasting methods (e.g., ARIMA, LSTM) to business problems.
Experience designing and implementing end‑to‑end analytic processes, including MLOps and version control.
Ability to translate business problems into technical frameworks and convert model outputs into actionable insights.
Why Work At Enact
We bring innovative thinking to the situations at hand
We seek out and incorporate diverse views to strengthen our outcomes
We work on challenging and rewarding projects
We offer competitive benefits:
Hybrid work schedule (in‑office days Tues/Wed/Thurs)
Generous Time Off
40 Hours of Volunteer Time Off
Tuition Reimbursement and Student Loan Repayment
Paid Family Leave and Flexible Spending Accounts
401k with up to 5% employer match
Fitness and Emotional Wellness Reimbursements
Onsite Gym
We are proud to be an equal opportunity employer and all hiring decisions are based on merit, qualifications, and business needs. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Compétences linguistiques
- English
Avis aux utilisateurs
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