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Lead Data Scientist

Company: Pacific Life
Location: Aliso Viejo
Posted on: November 21, 2020

Job Description:

JOB DESCRIPTION:

Lead Data Scientist

Pacific Life is looking to invest in bright, agile new talent to ensure we continue to innovate and strengthen relationships with our policyholders. It s in this spirit that we are currently looking to add a skilled Advanced Analytics Consultant to our team in Newport Beach, CA.

As a Senior Data Scientist you ll play a key role in Pacific Life s growth and long-term success by leading advanced analytics projects in Pacific Life s life division (LID) in line with PL s digital first and data driven insights and decision-making strategy. You ll interface with key stakeholders, including product, distribution, underwriting, valuation/experience analysis, marketing, operations, finance and IT, to drive the analytics projects needed to gain insights into the business and identify drivers of performance.

If you re a proven dynamic thought leader in advanced analytics with expertise in data science with a proven record for delivery of data-driven insights, you re exactly who we re seeking. Technical capabilities aside, if you re a mission-driven self-starter with excellent communication, collaboration and delegation skills who s comfortable with ambiguity, and who thrives in a fast-paced, collaborative environment, you re a perfect fit for our team.

WHAT YOU LL DO

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Create advanced data models and high-quality analysis for all aspects of our business to discover insights, drive outcomes, actionable recommendations and innovation to guide strategic decisions
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Establish and promote a clear and transparent framework for developing, testing, and scaling actionable insights resulting in measurable business impact
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Partner with key stakeholders to champion an insights-driven culture for the entire division; partner with data science and infrastructure peers and operational managers throughout PL to identify data gaps, improve data quality, and share advanced modeling techniques and learnings
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Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support and inform key business decisions
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Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics
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Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables
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Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, distribution, marketing, operations, underwriting, finance, and product teams
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Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.; develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements
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Communicate results and business impacts of insight initiatives to stakeholders within and outside of the Division


TECH & TOOLS YOU LL USE

Machine learning/cloud-based libraries (TensorFlow, Microsoft Cognitive Toolkit, Kraken, Theano, NumPy, SciPy), statistical packages (SQL, R, Python, SAS), Alteryx and Data Robot, Data visualization tools such as Tableau, C++, Java a plus, Big data tools (Teradata, Aster, Hadoop, Spark), Microsoft Excel, Word and Powerpoint

FACTORS FOR SUCCESS

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10+ years experience with data science and advanced analytics with proven record for delivery of data-driven insights to inform strategic decision making; PhD (preferred) or MS in advanced analytics or quantitative discipline such as Statistics, Math or Engineering, or equivalent industry experience; FSA a plus
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Solid business acumen to put analytics in the appropriate context while identifying key metrics that measure and drive long term growth
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Expert in data mining and pre-processing principles and collecting data from multiple data systems, classification, mapping, and structuring/staging
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Demonstrated familiarity with machine/deep learning algorithms and techniques to support primarily supervised and reinforcement learning such as association rule learning, Bayesian networks, clustering, decision tree learning, gradient boosting, genetic algorithms, learning classifier systems, and support vector machines
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Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
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Experience with machine learning/cloud-based libraries (e.g., TensorFlow, Microsoft Cognitive Toolkit, Kraken, Theano, NumPy, SciPy), programming languages and statistical packages such as SQL, R, Python, SAS (code statements, models and macros), tools such as Alteryx and Data Robot, and data visualization tools such as Tableau. Knowledge of C++ and Java a plus
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Experience with big data tools such as Teradata, Aster, Hadoop, Spark, etc.; deep understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
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Strong ability to plan and manage numerous processes, people and projects simultaneously
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Excellent communication, collaboration and delegation skills with demonstrated ability with both technical and non-technical stakeholders; proven presentation skills, executive presence, and managerial courage to speak at all levels within the organization

At Pacific Life, the work we do matters. That s why you ll find those who work passionately each day to drive our company forward enjoy job security, flexible scheduling and great opportunities for career growth. If you re seeking a thriving career doing the type of meaningful work that s all too rare at a Fortune 300 Company, you re the perfect cultural fit for our team.

HOW WE HELP YOU SUCCEED:

We re fostering a culture of shared values across our company by providing generous compensation and comprehensive benefits that allow our employees to find fulfillment and security in personal life and career alike. These include:

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Competitive Salary and Benefits
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Work-Life Balance & Flexible Scheduling
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Medical, dental, and vision as part our commitment to investing in the health and wellbeing of our employees
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Two retirement savings plans: 401k savings plan with company match and Company Retirement Contribution (company-paid)
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Generous PTO and holiday pay
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Warm Colleagues & Inspiring Culture

EEO STATEMENT:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Keywords: Pacific Life, Aliso Viejo , Lead Data Scientist, Other , Aliso Viejo, California

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