Senior Engineer Consultant, Data Science

Objective Partners; Town of Texas (WI); Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plan matching

PTO

Job summary

Objective Partners seeks a Senior Engineer Consultant, Data Science to lead end-to-end data science initiatives for transformative business decision-making. You will own data extraction, pipeline building, model validation, and production deployment while mentoring junior data scientists.

You will develop statistical models, deep learning, and NLP solutions, transforming both structured and unstructured data into actionable insights.

Qualifications

• Bachelor’s degree or 4+ years of relevant experience.
• 4+ years building and deploying predictive models and analytics solutions, client-facing or advisory experience.
• Expertise in statistical techniques, supervised/unsupervised learning, deep learning, and NLP/text classification.
• Fluency in Python and SQL for data manipulation, feature engineering, and model development.
• Hands-on experience with high-volume processing tools such as PySpark or Scala.
• Ability to manage data science solutions across full lifecycle.
• Strong written and verbal communication with cross-functional stakeholders.

Responsibilities

• Direct end-to-end data science projects from data extraction through production deployment and monitoring.
• Build, train, and refine statistical models and ML solutions tailored to business challenges.
• Clean, transform, and integrate diverse data sources into production-ready pipelines.
• Deploy models in production using REST services and automated execution scripts.
• Translate quantitative findings into executive narratives and data visualizations.
• Provide daily coaching and code reviews to junior data scientists.
• Research and integrate emerging analytical methods to improve capabilities.

Skills

Python

SQL

PySpark

NLP/text classification

Data science lifecycle

Communication

Education

Bachelor’s degree

Master’s degree

Tools

Scala

Hadoop

REST APIs

Job description

Job Title: Senior Engineer Consultant, Data Science

Location: Major U.S. Metro Area (Hybrid / Remote Options)

About the Opportunity Drive transformative decision-making by converting complex data ecosystems into scalable predictive models and artificial intelligence solutions. This role provides the opportunity to own full-lifecycle data science initiatives, deliver actionable strategic insights, and mentor junior technical talent within a collaborative, fast-paced environment.

Responsibilities

• Project Execution: Direct end-to-end data science projects, covering initial data extraction and pipeline building through to model validation, production deployment, and ongoing monitoring.

• Algorithm & Model Development: Build, train, and refine statistical models, deep learning frameworks, and machine learning solutions tailored to solve strategic business challenges.

• Data Engineering & Integration: Clean, transform, and synthesize disparate structured and unstructured data sources into robust, production-ready analytical pipelines.

• Operationalization: Deploy models into production environments utilizing REST services, execution scripts, automated triggers, and continuous performance tracking.

• Stakeholder Alignment: Translate complex quantitative findings into compelling executive narratives and interactive data visualizations for non-technical business partners.

• Mentorship: Provide daily technical coaching, code reviews, and project guidance to one or two junior data scientists.

• Continuous Innovation: Research and integrate emerging analytical methodologies, open-source libraries, and data tools to continuously improve technical capabilities.

Requirements (Must-Have)

• Bachelor’s degree in a quantitative field or 4+ years of relevant practical experience (including equivalent military background).

• 4+ years of hands-on professional experience building and deploying predictive models and advanced analytics solutions, ideally within a client-facing or advisory capacity.

• Expertise applying statistical techniques, supervised and unsupervised machine learning, deep learning, and natural language processing/text classification.

• Fluency in Python and SQL for advanced data manipulation, feature engineering, and model development.

• Hands-on experience leveraging high-volume processing tools such as PySpark, Scala, or modern distributed computing technologies.

• Demonstrated ability to manage data science solutions across the full software and analytics lifecycle.

• Strong written and verbal communication skills with a track record of presenting technical concepts to cross-functional stakeholders.

Preferred Qualifications (Nice-to-Have)

• Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.

• Experience developing analytical applications or predictive models within high-volume communications or networked infrastructure sectors.

• Familiarity with enterprise data lakes, Hadoop frameworks, and large-scale ETL workflow design.

• Experience crafting custom web visualizations, analytical dashboards, or interactive decision tools.

Compensation & Benefits

• Compensation: Competitive market base salary commensurate with experience (exact range dependent on candidate location and candidate qualifications).

• Benefits: Full health, dental, and vision insurance options, retirement plan matching, paid time off, and continuous professional development support.

This is a remote, work from home position. This role is to be filled outside the states of California and Colorado.

**We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**

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