Data Analyst

1 month ago

Provo, United States Aptive Environmental Full time

We are seeking a Data Scientist (Specializing in ML and ML Ops with SageMaker) to join our growing team of analytic experts. The ideal candidate has experience in reporting, data visualization, interpreting data and analyzing results. They will prepare, acquire, analyze, and interpret trends or patterns in complex data sets and present analysis on forecasts and trends. They will conduct insightful, ad hoc analyses and establish reviews and analyses of data accuracy using operational metrics and report making. Excellent analytical problem-solving skills are required.

This position is hybrid in Provo, Utah.

Compensation is $120,000.00+ DOE

What We Offer

Group Health, Dental, and Vision plans Pet insurance, Life insurance, and EAP benefits 401K with employer match Paid holidays and paid time off Opportunity for advancement Upbeat and exciting company culture and much more

Responsibilities

Develop and refine machine learning models, with a focus on regression, computer vision/image recognition, NLP, and LLMs, using Amazon SageMaker and other relevant tools. Lead foundational work in ML and ML Ops, setting up scalable and efficient machine learning pipelines. Build, maintain, and optimize data models and data automation systems to support key business decisions. Design and implement analytics solutions to process and analyze large datasets. Provide insights and analysis on trends utilizing advanced data analytics techniques. Aggregate and preprocess data for analysis and machine learning model training. Conduct ad hoc analysis and reports to identify risks and opportunities for business improvement. Develop and report Key Performance Indicators (KPIs) that enhance visibility and operational efficiencies.

Qualifications

Bachelor’s or Master's degree in Data Science, Computer Science, Statistics, or a related field. Minimum of 3-5 years of experience in data science with a strong emphasis on machine learning and ML Ops. Proven experience in working with large datasets and complex data structures. Strong ability to present and communicate data-driven insights effectively. Advanced proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch). Demonstrated expertise in Amazon SageMaker and other cloud-based ML solutions. In-depth knowledge of data analysis, machine learning algorithms, and statistical modeling. Proficient in Business Intelligence Tools (e.g., Tableau, Sigma), and experience in integrating ML models with these tools. Exceptional attention to detail and accuracy in work.

Preferred Skills

Experience in building scalable data pipelines and implementing ML solutions in a production environment. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) for ML Ops. Experience with dashboard creation and visualization tools for interpreting model outputs and data insights.

Competencies

Strategic and critical thinker with a strong problem-solving aptitude. Excellent communication skills, both verbal and written. Proactive, with an ability to take initiative and make confident decisions. Highly analytical, focused, and detail-oriented, with a commitment to delivering high-quality work.

Aptive Environmental

Aptive Environmental provides pest control services to 34 states in the US. Co-founded in 2015 by Vess Pearson and David Royce, Aptive launched with the clear intention of becoming a world-recognized brand.

In 2021, Aptive was included in Inc. Magazine’s “Best in Business” list of companies that make a positive impact. Aptive is also featured on Glassdoor's 2019 list of Top 100 US workplaces and is ranked one of Entrepreneur Magazine's Best Companies in America. We are a proud member of the EPA's Pesticide Environmental Stewardship Program and have partnered with the United Nations Foundation’s "United to Beat Malaria" to help stop the spread of malaria transmitted by mosquito bites.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please inform your recruiter. R103263

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