Lead Data Scientist

Hobbsnews; New York (NY); On-site; USD 142,000 - 253,000; Full time

Job summary

Hobbsnews seeks a Lead Data Scientist in New York to apply advanced analytics and machine learning techniques. The role involves developing mathematical models, supporting data visualization, and driving innovation across departments. Ideal candidates will have a Master's degree and substantial experience in data science.

Qualifications

• Master's degree in a related field and 1 year of experience as a data scientist.
• Experience with programming, statistical analysis, and data analysis.
• Familiarity with machine learning and cloud-based databases.

Responsibilities

• Develop and integrate mathematical models and algorithms for data analysis.
• Support business insights and product decisions using analytics.
• Mentor peers and drive innovation through statistical methodologies.

Skills

Programming with Python

Statistical analysis using R

SQL queries

Probability theory

Machine learning techniques

Data analysis and analytics

Inter-departmental networking

Education

Master's degree in Statistics

Master's degree in Data Science

Master's degree in Mathematics

Master's degree in Computer Science

Tools

Python

R

SAS

SQL

Hive

Spark

Job description

Job Description: The Lead Data Scientist at Northwestern Mutual Life Insurance Company in New York, New York will apply and integrate advanced statistical, mathematical, data mining, predictive modeling, and business analysis to discover and identify new insights, predict and prescribe outcomes, advise on turning new insights into actionable opportunities and outcomes, and provide tracking and measurement of results. Independently develop solutions, mathematical models, algorithms, machine learning techniques, and analytics to support business insights and data visualization for productization and monetization. Apply creative problem solving and inter-departmental networking to address data and information needs across the enterprise. Share best practices with peers through coaching and mentoring around core methodologies, patterns, standards and processes. Drive innovation by exploring new experimentation methods and statistical techniques to sharpen or speed up product decision-making processes. Discover technology improvement opportunities through extensive analysis and work with other teams to address opportunities. Utilize Python, R, and SAS and create SQL queries. Refit models constantly as data changes over time. Identify available internal and external data resources to develop and deliver information solutions, including analytical information. Utilize distributed, relational, and cloud-based databases and query languages. Local telecommuting permitted. Salary $142,030- $252,200 per year.

Minimum Requirements: Master's degree in Statistics, Data Science, Mathematics, Computer Science, or related field, plus 1 year of experience as a data scientist or related occupation. Experience must include 1 year of experience with each of the following: (1) programming with Python, Java, or Ruby; (2) statistical analysis using R or SAS; (3) SQL queries; (4) probability theory and statistical analysis; (5) distributed, relational, and cloud-based databases and query languages including Hive and Spark; (6) data analysis and analytics; and (7) modeling datasets using machine learning techniques.

Interested candidates send resume to [e-mail]. Reference code 199 in the subject line.

We believe in fairness and transparency. It’s why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. If noted, this is standard pay structure for this position.

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Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

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