Data Scientist - Blue Obsidian Solutions

Blue Obsidian Solutions, Inc.
Tampa, FL, United States
12 days ago
Apply on www.clearancejobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Microsoft Excel Amazon Web Services Data Analysis Microsoft Azure Big Data Data Mining DevOps Python (Programming Language) Machine Learning Pattern Recognition Microsoft PowerPoint
+12 more
Ansible SAS (Software) Software Engineering SQL Databases Tableau (Software) Unstructured Data Google Cloud Delivery Pipeline Cloudformation Infrastructure Automation Frameworks Terraform Programming Languages

Job description

We are looking for an experienced data scientist to provide daily insights. The ideal candidate will possess strong mathematical and statistical skills, along with natural curiosity and creative thinking. This individual will be responsible for mining, interpreting, and cleaning our data, while also asking the right questions, connecting the dots, and uncovering hidden opportunities to fully leverage the data’s potential., * Work closely with product design and engineering teams to understand their needs. * Research and create innovative statistical models for data analysis. * Present findings to all stakeholders. * Drive smarter business processes by leveraging analytics to generate meaningful insights. * Stay up to date with technical advancements and industry trends. * Identify and integrate new datasets that can enhance our product capabilities, collaborating closely with the engineering team in developing data products. * Conduct analytical experiments to address challenges across various domains and industries. * Identify relevant data sources to support client business needs, gathering large structured and unstructured datasets and variables. * Develop and apply algorithms and models to mine big data stores, performing data and error analysis to refine models, and ensuring data is clean and accurate. * Analyze data for trends and patterns, interpreting it with clear objectives in mind. * Collaborate with software developers and machine learning engineers to implement analytical models in production. * Capacity Planning: Analyze system usage patterns to predict future growth, optimize capacity, and ensure scalability. * Collaboration: Work closely with software engineering, DevOps, and infrastructure teams to design reliable architecture and improve operational workflows. * Continuous Improvement: Regularly evaluate current processes and systems, identifying areas for improvement and implementing enhancements.

Requirements

Seven or more years of experience in data science * Proficiency with data mining, mathematics, and statistical analysis * Advanced experience in pattern recognition and predictive modeling * Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) * Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects * Proficiency in cloud platforms (AWS, Azure, GCP). * Knowledge of CI/CD pipelines and infrastructure as code tools (Terraform, Ansible, CloudFormation). * Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline

Preferred: * Two or more years of project management experience * Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Engineer). * Strong communication skills and the ability to work collaboratively with cross functional teams.

Security Requirements * Must possess and maintain a TS/SCI clearance at time of hire, Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline, Ability to travel as needed, estimate less than 25%

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

1:42 min

Automating Skupper deployments using Ansible

Alex Soto Alex Soto · World Congress 2024

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

Videos

See all

Related articles

See all