Associate Data Scientist at TieTalent

Feedinkoo

United States

Hybrid

USD 73,000 - 137,000

Full time

14 days+

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Benefits offered by this job

Healthcare coverage

401(k) options

Paid time off

Volunteer time off

Life insurance

Tuition reimbursement

Wellness support

Employee assistance program

Mental health support

Job summary

Genworth is hiring an Associate Data Scientist to join the LTC Operations analytics team. You will harness data to enhance predictive capabilities, forecast trends, and deliver analytic solutions for policyholders and processes.

You will work with cross-functional teams to explore large datasets, build models, and create dashboards that drive self-service insights for business partners. This role requires strong Python, SQL, and visualization skills and offers hybrid work options.

Qualifications

Bachelor’s degree in mathematics, data science, statistics, or similar.
Strong problem solving and customer experience mindset.
Subject matter expertise in analytical modeling with Python.
Results-oriented with urgency and accountability for business problems.
Ability to build relationships with business partners.
Excellent verbal and written communication for non-technical audiences.
Experience with SQL and RDBMS technologies.
Experience with big data tech: Databricks, Azure, Hadoop, Spark, Hive.
Experience with data visualization tools: PowerBI, Spotfire, Tableau, Python.
Version control: GitHub or GitLab.

Responsibilities

Use programming skills to explore and interpret large-scale data.
Develop insights through analysis and modeling of high-volume data.
Perform data mining on structured and unstructured data.
Build automated dashboards and reports to monitor trends.
Collaborate with data scientists and analysts to meet goals.
Interact with peers and managers to share complex information.

Skills

Python

SQL

PowerBI

Tableau

Spotfire

Databricks

Azure

Hadoop

Spark

Hive

GitHub

GitLab

RDBMS

Education

Bachelor's degree in mathematics / data science

Tools

SQL Server

Greenplum

Oracle

Databricks

Azure

Hadoop

Job description

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need careand we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. Make it about others. Make it happen. Make it better.

This position is available to Virginia residents as Richmond or Lynchburg, Virginia in-office applicants or remote applicants residing in states/locations under Eastern or Central Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia, or Wisconsin.

As an Operations team member, you’ll play a crucial role in delivering world class customer service and capabilities to our policyholders now and in the future. We are revolutionizing the analytics space in the Long-Term Care (LTC) Insurance industry via intuitive design, innovative solutions, and creative thought leadership. Using the latest analytic tools and processes, we are able to analyze our data to provide strategic insight leading to transformational change. We have repeatedly shown the value of our analytics team and continue to invest in our growing data science team. To help carry us even further, we are seeking an Associate Data Scientist to join our expanding, problem-solving team, supporting LTC Operations. This is a new role reporting to the Senior Data Science Manager in Operations Analytics, who is looking for a data-oriented individual with a self-starter attitude to join our expanding, problem-solving team. This individual will harness the power of data to enhance the analytics and predictive capabilities on our customers and processes, forecast trends, and provide analytical solutions for our business operations.

What you will be doing:

Use programming skills to explore, examine and interpret large-scale data in various forms
Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems and improve our analytical speed-to-insight
Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
Build automated dashboards and reports to monitor operational trends to promote a self-service culture for business partners
Collaborate with data scientists and business analysts to understand project goals, gather business requirements, and develop analytical solutions to support our vision and strategy
Interact with internal and external peers and managers to exchange complex information related to areas of specialization and expertise

What you bring:

Bachelor’s degree in a mathematics, data science, statistics, operations research, or other analytical or technical discipline
A passion for problem solving, intellectual curiosity, and a customer experience mindset
Subject matter expertise in advanced analytical and computational modeling data capabilities, utilizing Python
Results-oriented, self-motivated, and the ability to demonstrate a sense of urgency and accountability for business problems
Build collaborative and effective relationships with business partners
Strong verbal/written communication skills to non-technical audiences
Experience with database Rational Database Management System (RDBMS) technologies (e.g., SQL server, Greenplum, Oracle)
Experience with big data technologies (e.g., Databricks, Azure, Hadoop, Spark, Hive)
Experience with data visualization tools (e.g., PowerBI, Spotfire, Tableau, Python)
Adherence to standard practices and use of version control tools such as GitHub/GitLab

Employee Benefits & Well-Being:

Competitive Compensation & Total Rewards Incentives
Comprehensive Healthcare Coverage
Multiple 401(k) Savings Plan Options
Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
Generous Paid Time Off Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
Disability, Life, and Long Term Care Insurance
Tuition Reimbursement
Student Loan Repayment
Training & Certification Support
Wellness support including gym membership reimbursement
Employee Assistance Program resources (work/life support, financial & legal management)
Caregiver and Mental Health Support Services

Additional: At this time, Genworth will not sponsor a new applicant for employment authorization for this position.

For the State of New York:

The base salary pay range for this role starts at a minimum rate of $73,100 up to the maximum of $136,800. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 7% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.

Desired Skills and Experience