Senior Consultant - Data Scientist

We’re not like others, and neither are you. Unify Consulting is a collective of genuine, curious, seasoned consultants who unlock potential and deliver with purpose and excellence. We unify daring leaders to better the world and are always seeking co-creators, community-builders and truth-tellers who strive to multiply our positive impact.  
We are currently seeking an experienced Data Scientist to join our growing Data Science & Machine Learning Engineering practice in Dallas, TX (Must reside in the DFW area). In this role, you will collaborate on the entire lifecycle of custom machine learning solutions delivery.
Ideal Candidate: You are someone who likes to stay on the cutting edge of machine learning and data science through novel project execution and development of algorithms that improve performance and effectiveness across business domains. The role requires a broad knowledge of the entire Machine Learning Life Cycle, and you like the ability to use your creativity to customize this process for specific client needs.

Responsibilities:

• Use your experience and communication skills to work across business & technology teams to build and develop innovative data science models and algorithms.
• Mine, explore and analyze data using statistical techniques and data visualizations to discover insights for process optimization, improvement of products, marketing strategies, and a host of other business applications.
• Collaborate with Machine Learning Engineers, DevOps Engineers and Data Engineering teams to deliver end to end machine learning solutions for our clients.
• Collaborate with platform teams and solution architects to evolve big data platforms and evaluate various data science technologies and services.
• Deliver production-grade, machine learning solutions, built with automated, repeatable processes.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

Ideal Candidate:

• Proven track record of building machine learning models for big data solutions.
• Experience collaborating with cross-functional teams including data engineers and ML engineers to deliver end-to-end solutions.
• Deep technical proficiency in Python and SQL.
• Proficiency in PySpark, SparkSQL, Delta Lake and MLFlow.
• Professional experience with cloud technologies (Azure, AWS, GCP).
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and feature engineering.
• Extensive knowledge of statistical techniques and concepts including regression, distributions, statistical tests and others.
• Experience with exploratory data analysis and associated toolkits (ggplot, seaborn, matplotlib).
• Proficiency in multiple machine learning algorithms, including linear and logarithmic regression, decision trees, probability networks, association rules, clustering, neural networks, and Bayesian models.
• Experience with deep learning libraries, such as Tensorflow and PyTorch, and applications with NLP and computer vision.

Preferred experience working with:

• Big data platforms (Hadoop, Spark, Hive)
• Orchestration frameworks (Airflow)
• Infrastructure technologies (Terraform, Ansible, Kubeflow, Kubernetes, Docker)
• Data Science environments and libraries (Databricks, Sagemaker, Jupyter, Anaconda, Sklearn, MLLib, NumPy)
• CI/CD build and version management tools (Jenkins, Git, DVC)
• High-velocity high volume streaming data (Kafka, Event Hubs, Stream Analytics)
• Data transformation technologies (dbt)
• AI/GenAI frameworks like Agentic

Unify Consulting, LCC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Unify considers applicants regardless of race, color, creed, national origin, ancestry, sex, marital status, genetics, disability, religious or political affiliation, age, gender, sexual orientation, medical condition, pregnancy, or any other characteristic protected by federal, state or local laws. We encourage people of all backgrounds to apply.