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Remote Edge Ai Machine Learning Jobs in Ohio (NOW HIRING)

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Remote Edge Ai Machine Learning information

What is the difference between Remote Edge Ai Machine Learning vs Data Scientist?

AspectRemote Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, CS, or related fields; strong analytical skills
Work EnvironmentRemote, often on edge devices or IoT systemsTypically office or remote, analyzing data in cloud or on-premises
Industry UsageAI development, IoT, autonomous systemsBusiness analytics, research, product development

Remote Edge Ai Machine Learning specialists focus on deploying ML models on edge devices, often requiring knowledge of embedded systems. Data Scientists analyze large datasets to extract insights, usually working in cloud environments. While both roles require strong ML fundamentals, their work environments and application areas differ significantly.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Ohio? The most popular types of Edge Ai Machine Learning jobs in Ohio are:
What are popular job titles related to Remote Edge Ai Machine Learning jobs in Ohio? For Remote Edge Ai Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Edge Ai Machine Learning jobs in Ohio look for? The top searched job categories for Remote Edge Ai Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Remote Edge Ai Machine Learning jobs? Cities in Ohio with the most Remote Edge Ai Machine Learning job openings:
Principal Data Scientist - Insurance Pricing - Hybrid / REMOTE (EST)

Principal Data Scientist - Insurance Pricing - Hybrid / REMOTE (EST)

D.W. Simpson

Amelia, OH • On-site, Remote

$150/hr

Full-time

Posted 20 days ago


Job description

Job Description
Ready for a step up in compensation? A leader in the specialty insurance market has a great opportunity for a Principal Data Scientist - Insurance Pricing. This individual will drive the end-to-end development, enhancement, maintenance, & monitoring of pricing models. The ideal candidate will be an ACAS or FCAS with 6+ years of data science/predictive analytics experience in P&C insurance, a deep understanding of GLMs & GBMs, and familiarity with AI & machine learning concepts. Must be proficient in R & Python, familiar with big data platforms, and possess strong technical modeling skills. (#58369)
Compensation:
  • A salary range of $150-165K
Locations:
  • Amelia, OH - Hybrid
  • Remote in EST

Meet Your Recruiter
Arturo Aguilera
Director, Social Media & Marketing
Arturo joined DW Simpson in 2017 and is currently the Social Media Specialist. He is in charge of running and maintaining DW Simpson's social media presence, increasing brand awareness and improving marketing efforts.
Arturo attended Columbia College Chicago where he graduated with a BFA in Advertising Art Direction. He enjoys attending concerts, dive bars, and art museums.
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  • arturo.aguilera@dwsimpson.com

DW Simpson logo

About DW Simpson

Sourced by ZipRecruiter

We have offices all over the United States and place professionals globally. Our expertise includes property & casualty, life, health, pension, and increasingly non-traditional areas such as risk management, catastrophe modeling, predictive modeling, financial modeling, and data analytics. Mission Our mission is to be the premier executive recruiting firm specializing in the placement of actuaries and analytics professionals; to be recognized for the best service, integrity and forthrightness that the firm brings to each business relationship; and to be willing at all times to sacrifice short-term gain for the long-term good and prosperity of our clients, our candidates and, as a result, our organization as well. Diversity, Equity, and Inclusion Statement We are dedicated to hiring and retaining diverse talent and ensuring that we treat everyone with respect and support. We embrace diversity and strive to create conditions that provide everyone with an equal opportunity to thrive. Our employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, gender, sexual orientation, gender identity, disability, pregnancy, national origin, marital status, genetic information, age, veteran status, or any other characteristic protected under applicable federal, state, or local laws.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Chicago, IL, US

Year founded

1989