Data Scientist - Ml Solutions

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. We’ve recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). This role presents a distinctive opportunity to be part of Data Science Center of Excellence within EDAO, actively contributing to Guardian’s ongoing evolution.
Guardian’s EDAO spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data engineers, Data Scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian’s revenue growth, risk management and customer experience.
In this role as Data Scientist, you’ll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You’ll collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups. Successful candidates have strong technical foundation, excel in coding, detail oriented, and have passion for analytical thinking and problem solving.
You Will:

Key Responsibilities

• Analyze large, complex datasets to extract insights and decide on the appropriate techniques to uncover patterns and trends.
• Build predictive models and machine-learning algorithms; combine models through ensemble modeling.
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• Propose innovative ways to look at problems through using data mining and data visualization.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Present information using data visualization techniques; communicate results and ideas to key decision makers.
• Ensure data accuracy and consistent reporting by designing and reporting.
• Consistent accuracy and thoroughness in performing work assignments.
• Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems.
• Perform regular data quality control, prepare and maintain reports, and troubleshoot data anomalies.
• Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities

You are:

• You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
• You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
• You enjoy collaborating with other Data Scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders

You have:

• PhD or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Basic experience in data analysis and statistical modeling.
• Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Experience with data science toolkits, such as Python or R.
• Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions.
• Knowledge of data management tools including SQL, Hadoop, or similar technologies.
• Strong problem-solving skills with an emphasis on product development.
• Effective communication skills to work with partners to identify business questions and work through their data to search for answers. Tell meaningful story with data and explain complex solutions in a simple way.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment, learn rapidly, and master diverse technologies and techniques.

Location:
2 days a week at a Guardian Location in NY, NY, Holmdel, NJ, Bethlehem, PA or Stamford CT.
Salary Range
$91,260.00 - $149,925.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
Our Promise
At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
Inspire Well-Being
As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.

Health Care

• Choice of [high deductible/copay] medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefits
• Dental plan
• Vision plan
• Health care accounts – flexible spending, health reimbursement, and health savings accounts
• Critical illness insurance

Life and Disability Insurance

• Company-paid Life and Disability insurance plus voluntary supplemental coverage
• Accident insurance

Retirement and Financial

• 401(k) retirement plan with a company match, plus an annual age/service-based Company contribution and an annual profit-sharing contribution, if applicable
• Complimentary 1:1 financial guidance with a licensed Fidelity representative

Time Off and Remote Work

• Flexible work arrangements (part in-person/part remote)
• Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavement
• Personal holidays for colleagues to use in recognition of religious, cultural, or civic days
• Paid parental leave and paid family and medical leave policies

Emotional Well-being and Work-Life

• Emotional well-being, mental health, and work/life resources powered by Spring Health
• Wellness programs, including fitness program and equipment reimbursement
• Child, adult, and elder back-up care support through Bright Horizons
• Adoption assistance
• College planning
• Tuition reimbursement
• Student loan assistance
• Commuter benefits in select metropolitan areas

Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.
Equal Employment Opportunity
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
Accommodations
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual’s known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact
applicant_accommodation@glic.com

• Analyze large, complex datasets to extract insights and decide on the appropriate techniques to uncover patterns and trends.
• Build predictive models and machine-learning algorithms; combine models through ensemble modeling.
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• Propose innovative ways to look at problems through using data mining and data visualization.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Present information using data visualization techniques; communicate results and ideas to key decision makers.
• Ensure data accuracy and consistent reporting by designing and reporting.
• Consistent accuracy and thoroughness in performing work assignments.
• Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems.
• Perform regular data quality control, prepare and maintain reports, and troubleshoot data anomalies.
• Attend industry conferences to stay current on industry trends, challenges, and potential market opportunitie