Senior Data Scientist

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions.

The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and to have a passion for working with large amounts of data. This position requires the individual to ensure that the analysis and modelling they perform are free from any errors or incorrect inferences.

• Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success.
• Helps to define and communicate governance principles.
• Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods.
• Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t‑SNE), and principal components analysis (PCA).
• Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, integrates domain knowledge into the ML solution (e.g., from an understanding of financial risk, customer journey, quality prediction, sales, marketing). Tests ML models, such as cross‑validation, A/B testing, bias and fairness.
• Understands new data sources and process pipelines, catalogs/documents them, acquires access to various databases and other source systems such as SQL or graph databases.
• Trains other business and IT staff on basic data science principles and techniques.
• Networks with internal and external partners.
• Promotes collaboration with other data science teams within the organization (if there is a decentralized data science practice).

• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.
• Five years of experience as a Data Scientist in a reputed organization.

Data Scientist

Lead Data Scientist

Salary range is $90,800 - $184,100

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.

If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at .

Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and/or its affiliates will not be responsible for any fees associated with unsolicited submissions.

We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical), including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate.

We do not tolerate discrimination or harassment based on any of these characteristics.

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We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program—including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.