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Remote Applied Scientist Machine Learning Jobs in Chicago, IL

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

... Remote Type of Hire 4 months contract They strictly want candidates from Insurance/ Claim with risk management background. The Sr Data Scientist will design and implement machine learning and NLP ...

Kemper

Data Scientist

Chicago, IL · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

... machine learning / AI capabilities of the Predictive Intelligence capabilities. This person will ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Career Renew

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

... Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

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Remote Applied Scientist Machine Learning information

What does a remote applied scientist machine learning do?

A Remote Applied Scientist in Machine Learning develops and implements machine learning models to solve real-world problems, often from a location outside of a traditional office. Their work involves analyzing large datasets, designing algorithms, and collaborating with teams to deploy scalable solutions. They may also conduct experiments to improve model performance and stay up to date with the latest research in the field. Communication and documentation are important, as they often work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive as a remote applied scientist machine learning?

To thrive as a Remote Applied Scientist in Machine Learning, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree and experience in ML algorithm development. Familiarity with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and tools for data processing and cloud computing is essential. Exceptional problem-solving ability, communication, and self-motivation are key soft skills for collaborating remotely and driving projects forward. These skills ensure you can independently design, implement, and communicate impactful machine learning solutions in a distributed work environment.

What can I expect in terms of collaboration and communication when working as a remote applied scientist machine learning?

As a Remote Applied Scientist in Machine Learning, you will frequently collaborate with cross-functional teams, including data engineers, product managers, and software developers. Communication typically takes place via video calls, chat platforms, and shared documentation, so strong written and verbal communication skills are essential. You may participate in regular virtual stand-ups, sprint planning, and code reviews to align on project goals and share progress. Remote work environments emphasize proactive communication and self-management to ensure seamless teamwork and project delivery.
What are the most commonly searched types of Applied Scientist Machine Learning jobs in Chicago, IL? The most popular types of Applied Scientist Machine Learning jobs in Chicago, IL are:
Remote Applied Scientist Machine Learning jobs near you

Senior AI Machine Learning Engineer

The Hartford Financial Services Group, Inc.

Chicago, IL • On-site, Remote

$107K - $147K/yr

Full-time

Re-posted 14 hours ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 301 rated insurance

Job description

Sr Data Engineer - GE07BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team.
The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products that optimize customer interactions across omnichannel journeys, supporting operational areas such as the Contact Center, Premium Audit, and Billing.
As a Senior Machine Learning Engineer, you will play a critical role in designing, building, and operationalizing production-grade AI solutions-partnering closely with product, engineering, and operations leaders to deliver measurable impact.
Our core values
  • We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
  • We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
  • We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
  • We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
  • We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities
  • Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
  • Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
  • Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
  • Accountable for design, development and maintenance of Models as Service
  • Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
  • Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
  • Delivery of critical milestones for model deployment in the AWS and GCP clouds.
  • Adopt and promote MLOps best practices to the Data Science community.

Minimum Requirements
  • Must be authorized to work in the U.S. now and in the future.
  • Master's degree in related field or 5+ years of equivalent experience in a research or DevOps function.
  • Development experience using both the AWS and GCP suite of tools.
  • Familiarity with SageMaker, Streamlit, web security, credentials and API management tools
  • Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
  • Experience building and deploying webservices in a cloud environment.
  • Experience building CICD pipeline using Jenkins or equivalent
  • Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similar
  • Expert-level Github experience, including Github Actions
  • Strong object oriented development experience using Python, Java, C#
  • Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS platforms such as Redshift, Snowflake or BigQuery
  • Experience in end to end model development lifecycle, from ideation through post production monitoring.
  • Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
  • Experience with Solution Design and Architecture of data pipelines
  • Basic understanding of Data Science model development life cycle

Preferred Skills
  • Fundamentally strong with Data Structures and algorithms.
  • Experience working with Docker, Kubernetes and EC2 environment.
  • Experience building ML and data pipeline and orchestration services
  • Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn,
  • Experience working in an Agile framework.

Qualifications
  • 4+ years of ML engineering, data manipulation and application development
  • 4+ years Python development experience
  • 4+ years working with IAC, developing CICD pipelines
  • 1+ years of experience in the insurance or broader financial services industry
  • 1+ years SQL development experience
  • Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM's into automated processes

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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