Data Analyst - Labs

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State Farm
Analyst, Simulation, Engineers, Computer, Engineering, Python
Full Time

Job Description

Overview

We are not just offering a job but a meaningful career! Come join our passionate team!

As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.

We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!

Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!

Responsibilities

About the Opportunities:

Labs @ State Farm is a highly inventive and dynamic environment. We exist to advance what's possible by transforming and disrupting the present to accelerate our future. We are curious, we are bold and we influence how our company pursues big ideas, turning opportunity into reality.

We are diverse, remote friendly and know the value of quality data people! We offer exceptional work/life balance and have a welcoming, fun environment.

As a Data Analyst on the Data for Simulation Models and Insights Team, you will be working with both business and technical partners in data acquisition and preparation for our machine learning, model driven environment as well as deriving insights from that data. Your first assignments will be research and POC's in our Experimentation effort along with enabling the data vision portion of our ML Simulation tool suite. This is an unbeatable opportunity for data analysts to immerse themselves in top notch big data and machine learning pipelines as a part of a fun and exciting team.

Who you are:

You are a change agent. You're a researcher and always learning. You are unwavering and relentless in your desire to see the business benefit from your work. You thrive on diversity, dynamic technology environments and driving out your vision. You are a natural collaborator, comfortable with questioning and being questioned. You are passionate and excel at getting others to buy into your work and ideas. You might want to contribute to the industry through patents, professional articles or presentations.

What you will do:
  • Work with high volume and diverse data on distributed systems
  • Automate a reusable ML data pipeline with an eye on performance and scalability.
  • Work with peers, leaders and the business to engineer solutions that impact our business's ability to grow and serve customers.
  • Bring ideas informed by experience and the industry, turn them into experiments you lead with the goal that they advance our business capabilities
  • Work with Data Engineers on the execution of POC's, experiment and work
  • Translate complicated data topics for partners.
  • Work and/or coordinate with other data areas in the enterprise to ensure we are informed where we're disrupting convention vs conforming.
  • Create, contribute or optimize infrastructure to enable the ML data platform.
  • Create and/or enable reusable ML models both for training and inference.
  • research and create/execute work around Model post process analysis including but not limited to: Visualizations and ML insights.

Qualifications

What skills you bring:
  • Bachelor's degree in Computer Science, Engineering, related data field OR equivalent certifications and experience
  • Knowledge of data as it pertains to ML, data modeling and Big Data patterns
  • AWS data tools and constructs such as: Glue, S3, RDS, Lambda, etc.
  • Solid understanding of key data concepts such as data acquisition, data grain, eventing, metadata, contextual data (keys, wrappers, etc.), logical conformance of disparate data etc.
  • Experience in large, complex data environments both highly coupled and highly decoupled
  • Prior work with 'legacy' type data structures
  • Experience with Python or similar programming language is very helpful
  • Experience in data mapping for data pipelines and optimizing data highly flexible data structures for performance and scalability
  • Ability to pick up and learn new technologies and skills quickly. Aside from the above, it's less about what you walk in the door with and more about how you learn and apply what you learn.

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity**

SFARM

#LI-LP1


Company Information

We have one of the largest developer communities in the country, utilizing the latest technologies in Open Source, Rules Engines and Server Oriented Architecture to develop responsive web-based and native mobile applications for both internal and external customers. Our data professionals are able to learn at one of the largest OLAP and Analytical environments in the world. Not to mention, our infrastructure professionals support one of the world's largest private networks with end-to-end connectivity between nearly 150,000 employees, agents, and agent team members at more than 21,000 State Farm locations.
Dice Id : RTL906969
Position Id : 23739-en-us
Originally Posted : 1 month ago

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