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Sr. Data Scientist

Lincoln Financial Group Boston, MA
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Job Description

Alternate Locations:Boston, MA (Massachusetts); Greensboro, NC (North Carolina)


Relocation assistance will be considered/provided for this opportunity within our company guidelines.



Requisition #53106


About the Company

Lincoln Financial Group, a Fortune 250 company with over 10,000 employees, provides advice and solutions that help empower Americans to take charge of their financial lives with confidence. Our core business areas Life Insurance, Annuities, Retirement Plan Services and Group Protection focus on supporting, preserving and enhancing over 17 million customers lifestyles and retirement outcomes.

Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. The company had $253 billion in assets under management as of December 31, 2017.

Ranked one of the Best Large Employers in America by Forbes magazine, Lincoln Financial Group makes a serious investment in our employees futures through a broad range of wealth accumulation and protection plans, health and wellness programs, and career development resources designed to help each individual reach their personal and professional goals.

The Role

Join high-energy data science and business experts in Lincolns Life Solutions Data Analytics group as we drive business value and innovation through analytics. Using enterprise-caliber data science tools, as the Sr.Data Scientist Advanced Analytics, you will provide subject matter expertise and direction on complex projects/initiatives for the design, development, and delivery of advanced analytics and predictive modeling that enables the business to make data based decisions. As part of the Advanced Analytics team you will research, prototype, architect, and deploy state-of-the-art technology within Lincolns Individual Life area to create high-impact business value. In additional to collaboration with other team members, you will have high-profile engagement across the enterprise including Underwriting, IT, Finance, Marketing and others.

Responsibilities

  • Implements and maintains predictive and statistical models to identify business opportunities and solve complex business problems.
  • Develops modeling techniques for pattern recognition, prediction, and classification.
  • Produces complex solutions, solves business problems, and finds patterns and insights from the analysis of structured and unstructured data.
  • Develops visualizations of data to effectively communicate findings and insights to senior executives, managers, and key stakeholders.
  • Uses data-mining techniques to collect and compile data from a wide variety of data repositories.
  • Provides expertise and collaborates with stakeholders to define data collection and analysis requirements and establish adequate business understanding to provide effective analysis.
  • Creates models to optimize data accuracy, validates its purpose, and confirms its significance to the business.
  • Identifies and interprets complex developments, variances, and trends; researches inconsistencies/anomalies in the data and presents findings to management.
  • Provides input in the creation of roadmaps and a framework to deliver insights to achieve business goals and objectives that are in line with management's vision.
  • Evaluates technologies, vendors, and cloud services that can support the business strategies and goals.

Education

  • Masters or PhD (Statistics, Data Science, Advanced Analytics, Econometrics/Economics, Applied Mathematics) preferred.
  • 4 Year Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Natural Sciences, or Information Systems or 4+ years of equivalent work experience

Experience

  • 5 7+ Years of advanced analytics, modeling, and/or data mining experience that directly aligns with the specific responsibilities of this position. (Required)
  • Proficiency with a major programming language appropriate for data science (e.g.; R, Python, SAS) to manipulate data and draw insights.
  • Strong knowledge of data mining including the utilization of third party data sources.
  • Advanced data transformation skills and knowledge of big data platforms (e.g. Spark, Hadoop)
  • Hands-on experience applying statistical machine learning techniques on structured and unstructured data
  • Ability to blend advanced math and statistics, machine learning, computer science, and research skills together to create impactful insights.
  • Define problems, collect data, establish facts and draw valid conclusions.
  • Evaluate trends in data or information.
  • Demonstrated strong relationship management skills with internal clients (e.g. senior management, peers and colleagues); proven ability to develop creative and collaborative approaches.
  • Demonstrates strong interpersonal skills with a collaborative style.
  • Demonstrates strong project management leadership skills including, critical ability to coordinate and balance multiple projects in a time-sensitive environment, under pressure, and meeting deadlines.
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)


This position may be subject to Lincolns Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincolns current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

Lincoln Financial Group (LFG) is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, sexual orientation, gender identity and expression, veterans status, or genetic information. Applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.







Job Details

Date Posted October 30, 2018
Date Closes November 29, 2018
Requisition 53106-en_US
Located In Boston, MA
Department Business Analysis
SOC Category 00-0000.00
Location