Machine Learning / Predictive Analyst Birmingham, AL or Dallas, TX in Birmingham, Alabama

Location

Birmingham, Alabama

Job Type

Full-time

Salary

$50 – $65/hr

Company

Vaco by Highspring

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 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. Desired Skills and Experience

Any Machine Learning / Predictive Analytics professionals in the Birmingham, AL or Dallas, TX area looking for a new contract opportunity?

We're working with a company that is continuing to expand its predictive analytics capabilities due to growing business demand and an increasing volume of projects across the organization.

If you're strong in Python, SQL, Machine Learning, predictive modeling, and large-scale data environments, I'd love to connect with you.

More information is included in the job description!

Equal Opportunity Notice

Highspring LLC (d/b/a Vaco by Highspring) and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") are committed to the full inclusion of all qualified individuals and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by applicable law. The company is also committed to ensuring that persons who need them are provided with reasonable accommodations; if an accommodation is needed to participate in the job application or interview process, please contact HR@vaco.com .

Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.

Representation Notice

By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. Additionally, you agree to be included in our talent pool for future hiring for similarly qualified positions. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. Lastly, you agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.

For residents of Ontario, Canada only: to the extent the position for employment is not with Highspring or not otherwise noted as vacant above, candidate should be informed that this role is to replace a presently employed person at Vaco by Highspring's client.

Privacy Notice

Vaco by Highspring respects your privacy and are committed to providing transparent notice of our policies. • California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. • Virginia residents may access our state specific policies here. • Residents of all other states may access our policies here. • Canadian residents may access our policies in English here and in French here. • Residents of countries governed by GDPR and UK GDPR may access our policies here.

Additionally, 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. More details about Vaco by Highspring's use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring.

Pay Transparency Notice

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

· the individual's skill sets, experience and training;

· licensure and certification requirements;

· office location and other geographic considerations; and

· other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses and/or participation in medical, dental, and vision benefits as well as the company's retirement plan (or similar retirement benefits).