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Prophecy Consulting

66 Prophecy Consulting Data Scientist Jobs Hiring Near You

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · On-site

$110.30K - $132.50K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Partner with external consultants, solution providers, and managed services teams to deliver ...

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · Hybrid

$108.10K - $129.80K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Partner with external consultants, solution providers, and managed services teams to deliver ...

Prophecy Technologies

Salesforce Developer

Columbus, OH · On-site

$53.50 - $71/hr

Execute successful migration of cases from ServiceNow to Salesforce, ensuring data integrity ... Bachelor's degree in Computer Science or related field. Preferred Qualifications: * Strong ...

Prophecy Technologies

Salesforce Developer

Columbus, OH · On-site

$51.75 - $68.75/hr

Execute successful migration of cases from ServiceNow to Salesforce, ensuring data integrity ... Bachelor's degree in Computer Science or related field. Preferred Qualifications: * Strong ...

Experis

Consultant (Data Scientist)

Milwaukee, WI · On-site

Experis US LLC, is seeking a Consultant (Data Scientist) to join their team. As a Consultant (Data Scientist), you will be part of the Experis supporting our team to service clients located ...

Artefact (LinkedIn Job Wrapping)

Data Scientist Colombia Bogotá, Colombia The current vacancy is for a position in the Colombia ... Our wide range of data-driven solutions in data consulting and digital marketing are designed to ...

Artefact (LinkedIn Job Wrapping)

Data Scientist Mexico Mexico The current vacancy is for a position in the Mexico team, but we are ... Our wide range of data-based solutions in data consulting and digital marketing is designed to meet ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven decision making for our clients. You will leverage your expertise in statistics, machine learning, and ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven decision making for our clients. You will leverage your expertise in statistics, machine learning, and ...

Judge Group, Inc.

Data Scientist IV

Bridgewater, NJ · Hybrid

Technical Process Manager - Decision Scientist cum Consultant/ Data Scientist Iv Location: Basking Ridge, NJ Hybrid - 8 days/month in office (typically 2 days a week, Tue & Thu) Job Type: Contract ...

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision ...

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

AMEND Consulting is a management consulting firm based in Cincinnati, OH, focused on operations, analytics, and technology. They are seeking a Data Scientist who will build advanced analytics tools ...

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Prophecy Consulting Jobs Information

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What other companies are hiring for Data Scientist jobs?
What are the most popular jobs at Prophecy Consulting?
What are the most popular categories at Prophecy Consulting?
Infographic showing various Data Scientist job openings at Prophecy Consulting in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 85% Physical, and 15% Remote job distribution.

Data Engineer - GCP

Prophecy Technologies

Dublin, OH • On-site

$110.30K - $132.50K/yr

Full-time

Posted 8 days ago

Job description

Job Summary
The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture, primarily on Google Cloud Platform (GCP). This role focuses on data ingestion, transformation, governance, and curation while ensuring performance, cost efficiency, security, and compliance with enterprise standards.
Role Descriptions / Responsibilities
  • Re-write and enhance existing data pipelines to meet evolving business needs.
  • Design and build production-grade data pipelines from ingestion to consumption in a hybrid big data environment.
  • Develop pipelines using Java, Python, GCP Dataflow, and Apache Airflow.
  • Design and implement Collibra workflows using Java.
  • Design and implement data ingestion, transformation, and curation solutions using GCP-native and custom frameworks.
  • Optimize data pipelines for performance, scalability, and cost efficiency across large-scale data lakes.
  • Ensure technical specifications align with business requirements and enterprise architecture standards.
  • Partner with external consultants, solution providers, and managed services teams to deliver compliant and scalable solutions.
  • Collaborate across multiple teams to track project progress, identify risks, and communicate status and impacts to leadership.
  • Proactively propose process, platform, and technical improvements.
  • Ensure platforms and tools meet data security, audit, and compliance requirements.
  • Apply best practices for frameworks, naming conventions, scripting, and coding standards.
  • Communicate technical concepts clearly to non-technical stakeholders.

Essential Skills & Qualifications
  • Bachelor's degree or equivalent work experience.
  • 8+ years of engineering experience in Big Data, Data Analytics, and Data Integration.
  • 2+ years of hands-on experience in GCP Data Engineering and Cloud Analytics solutions.
  • 5+ years of programming experience with:
  • Python
  • Java
  • Spring Boot, Spring MVC
  • REST API development
  • Hands-on experience with CI/CD pipelines (Concourse, Jenkins).
  • Experience with GCP Data Ingestion technologies:
  • Dataflow
  • Fusion
  • Airflow
  • Experience designing and optimizing data models using BigQuery.
  • Experience integrating KMS / HSM solutions with GCP data services.
  • Experience implementing metadata management solutions on GCP.
  • Strong verbal and written communication skills

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