Machine Learning Engineer / Predictive Analyst

confidential

Birmingham, AL

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JOB DETAILS

JOB TYPE

Full-time, Employee

SKILLS

Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Big Data, Business Growth, Business Intelligence, Business Model, Business Skills, Business Support, Business Transformation, Cloud Computing, Compensation Management, Consulting, Cross-Functional, Data Analysis, Data Processing, Data Science, Data Sets, Ecosystems, English Language, Forecasting, Functional Analysis, GCP (Good Clinical Practices), Hair Styling, Leadership, Legal, Machine Learning, Marketing, Microsoft Windows Azure, Model Validation, Performance Modeling, Performance Tuning/Optimization, Predictive Modeling, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Sales Forecasting, Sales Support, Solution Sales, State Laws and Regulations, Statistics, Team Player, Testing, Training Data Sets

LOCATION

Birmingham, AL

POSTED

Today

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.

Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

EEO Notice

Vaco by Highspring is an Equal Opportunity Employer 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 federal, state or local law.

Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .

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

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. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also 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.

Privacy Notice

Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “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 may access our policies here.

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;
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.

About the Company

Company Confidential

Vaco provides expert consulting, permanent placement, executive search and strategic stafﬁng for companies around the world, in the areas of accounting, ﬁnance, technology, healthcare, operations, administration and more. As a premier talent solutions ﬁrm, Vaco connects people to their dream jobs and helps leading companies ﬁnd talent to grow their business. Since its founding in 2002, Vaco has grown to more than 35 ofﬁces across the globe, 700+ employees, more than 3,000 consultants and $450M in revenue. Vaco has been named to Inc. magazine’s list of the fastest-growing private companies for past 11 years and is dedicated to developing long-term relationships, life-long careers and creative client solutions.

COMPANY SIZE

2,500 to 4,999 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

2002

WEBSITE

http://www.vaco.com/

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