Senior Product Data Scientist

GEICO; New York (NY); On-site; USD 110,000 - 230,000; Full time

Job summary

GEICO is seeking a Senior Product Data Scientist to leverage your analytical expertise in a collaborative environment. You will solve open-ended business problems, provide insights to affect product strategy, and support decision-making with data-driven recommendations. Join a company dedicated to innovation and customer satisfaction.

Benefits

401K savings plan with 6% match

Tuition assistance

Work from anywhere flexibility

Comprehensive Total Rewards program

Qualifications

• 8+ years experience with SQL and scripting languages.
• 5+ years with analytics visualization tools.
• Experience working with cross-functional teams.

Responsibilities

• Utilize technical expertise for quantitative analysis and data mining.
• Define and test opportunities to improve product offerings.
• Partner with cross-functional teams to inform product strategy.

Skills

SQL

R

Python

Data Visualization

Analytics

Education

Bachelor’s degree

Tools

Tableau

Excel

PowerBI

Job description

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At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management.

Job Responsibilities

• Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues
• Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities
• Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
  
  

Basic Qualifications

• 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R)
• 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience designing, analysis, and refining experiments
• Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics
• Intellectual curiosity and drive, decisiveness, ambiguity and complexity
• Bachelor’s degree required
  
  

Preferred Qualifications

• Insurance industry experience
• Master's degree, or Advanced technical degree
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods
• Experience of data modeling and data pipeline design
  
  

Annual Salary

$110,000.00 - $230,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
  
  

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Insurance

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