Machine Learning Engineer / Predictive Analyst POST NUMBER: 184403

Machine Learning Engineer / Predictive Analytics Consultant Preferred Locations: Birmingham, AL or Dallas, TX Position Overview We are seeking a hands-on Machine Learning Engineer / Predictive Analytics Consultant to join an established machine learning team focused on scaling predictive analytics capabilities across the business. This role will support high-impact initiatives primarily focused on sales and marketing forecasting, predictive modeling, and business intelligence transformation efforts. The organization has already built out a mature cloud and big data environment and is now focused on increasing delivery capacity, accelerating project timelines, and expanding the team’s ability to support growing business demand. This individual will help transition the business beyond traditional dashboarding and reporting into forward-looking predictive analytics and forecasting solutions. This is a highly collaborative but autonomous role requiring someone who can operate with minimal guidance, solve complex business problems independently, and deliver practical machine learning solutions at enterprise scale. Key Responsibilities Design, build, test, and deploy machine learning and predictive analytics models using large-scale structured and unstructured datasets Develop forecasting and predictive modeling solutions supporting sales, marketing, and operational business initiatives Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions Perform exploratory data analysis, feature engineering, model selection, validation, tuning, and performance optimization Work with existing enterprise-scale cloud and big data environments to support scalable analytics initiatives Help increase team throughput by accelerating project delivery and supporting a growing backlog of analytics requests Collaborate with cross-functional teams including analytics, engineering, and business leadership Communicate analytical findings and model outcomes clearly to both technical and non-technical stakeholders Contribute to ongoing improvements in predictive analytics processes, scalability, and operational efficiency Required Qualifications 5 years of experience in Machine Learning, Predictive Analytics, Data Science, or related data-focused roles Strong hands-on experience with: Python SQL Spark / PySpark (Nice to have) Snowflake (Nice to have) Experience building machine learning and predictive models from the ground up Experience working with large-scale datasets and distributed data processing environments Strong understanding of statistical analysis, forecasting, predictive modeling, and machine learning methodologies Experience operating within cloud-based analytics ecosystems (AWS, Azure, or GCP) Proven ability to work independently with minimal direction Strong analytical thinking and problem-solving skills Ability to translate business problems into scalable technical solutions Preferred Qualifications Experience supporting sales and marketing analytics initiatives Experience with forecasting and business performance prediction models Experience working in enterprise-scale machine learning environments Exposure to Databricks or similar modern data platforms Experience communicating directly with business stakeholders and leadership teams Ideal Candidate Profile The ideal candidate is not someone who simply executes assigned tasks. We are looking for a proactive problem solver who can independently identify opportunities, work through ambiguity, and deliver practical machine learning solutions that drive measurable business value. This individual should be comfortable operating in a fast-paced environment with evolving priorities and growing demand for predictive analytics capabilities. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.