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Career Insights for Machine Learning Engineer
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Based on Iowa data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$133,126 / year median in Iowa
Job Description
PRIMARY PURPOSE
- :•To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.
ESSENTIAL
FUNCTIONS andRESPONSIBILITIES
- + Builds, prototypes, and deploys machine learning models in production environments.
ADDITIONAL
FUNCTIONS andRESPONSIBILITIES
- + Performs other duties as assigned. + Travels as required.
QUALIFICATIONS
- Education & Licensing
- Master's degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.
- Experience
- Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural language processing and healthcare data preferred.
- Skills & Knowledge
- + Proficiency writing code in Python or R and documenting for reproducibility + Strong knowledge of reviewing other's models and code + Ability to use data visualization tools and libraries + Strong data exploration, data wrangling and feature engineering skills + Knowledge of application of supervised/unsupervised ML techniques + Thorough knowledge of SQL to query relational databases + Excellent oral and written communication skills, including presentation skills + PC literate, including Microsoft Office products + Analytical and interpretive skills + Strong organizational skills + Ability to create and complete comprehensive, accurate and constructive written reports + Ability to work in a team environment + Ability to meet or exceed Performance Competencies •
WORK ENVIRONMENT
- When applicable and appropriate, consideration will be given to reasonable accommodations.
- Mental
- :•Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines •Physical•:•Computer keyboarding, travel as required •Auditory/Visual•:•Hearing, vision and talking _As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings.
- _$175,000 - $220,000)_
- _.
- If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
- Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected.
- sedgwick.com