Data Analytics / AI Specialist

Blu Omega
El Segundo, United States of America
8 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 160K

Job location

El Segundo, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Information Engineering
ETL
Data Visualization
R
Hadoop
Python
Machine Learning
Power BI
TensorFlow
SQL Databases
Tableau
Data Processing
Google Cloud Platform
PyTorch
Spark
Scikit Learn
Information Technology
Data Analytics
Data Pipelines

Job description

  • Lead analytical efforts by translating complex business needs into technical solutions, including data collection, refinement, and visualization.
  • Develop and deploy advanced analytics products using tools such as R, Python, Tableau, and PowerBI.
  • Apply AI/ML techniques to real-world challenges, including model development, MVP creation, and deployment.
  • Design scalable AI architectures with ongoing quality monitoring, ensuring adherence to security and compliance standards.
  • Conduct exploratory data analysis, statistical assessments, and data wrangling to uncover actionable insights.
  • Collaborate with cross-functional teams to identify AI opportunities, assess technologies, and recommend innovative solutions aligned with mission objectives.
  • Mentor junior team members, fostering technical growth and ensuring high-quality deliverables.
  • Support training and knowledge-sharing initiatives on AI and data analytics best practices.

Requirements

  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field; relevant work experience may be considered in lieu of degree.
  • 5+ years of relevant experience in data analytics, visualization, and data science.
  • Proven expertise in advanced data analytics, visualization tools (Tableau, PowerBI), and business intelligence principles.
  • Strong experience developing AI/ML models, with knowledge of frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Demonstrated ability to lead analytics projects from requirements gathering to deployment and continuous improvement.
  • Proficiency in Python, R, SQL, and familiarity with cloud platforms (AWS, Azure, Google Cloud).
  • Experience working within Department of Defense (DoD) environments or similar highly secure settings is a plus.
  • Excellent communication skills, capable of articulating technical concepts to diverse audiences.

Nice to Have:

  • Experience with Palantir platforms.
  • Master's or advanced degree in relevant fields.
  • Knowledge of DoD AI policies, ethical considerations, and security protocols.
  • Experience managing end-to-end AI solution lifecycle.
  • Familiarity with big data technologies like Hadoop and Spark.
  • Data engineering skills, including ETL processes and data pipeline development.
  • Willingness to adapt and learn emerging technologies continuously.

Other Requirements:

  • Must be able to support onsite work in Los Angeles, five days a week.
  • Ability to manage multiple projects simultaneously and prioritize effectively.
  • Strong problem-solving skills, with a strategic and analytical mindset.
  • Commitment to safeguarding sensitive information and adhering to security standards.

Benefits & conditions

Salary Range: $115K - $160K Our final salary offer will be based on several factors, including depth of technical skills, work experience, education, certifications, and clearance

What Blu Omega Can Offer You:

  • Competitive benefits including Health Insurance, 401K w/ match, Paid Time Off and more.
  • Results driven culture that embrace our core values
  • Rewarding work contributing to our Nation's mission critical programs

About the company

Blu Omega is a Woman Owned Small Business Federal Technology services firm headquartered in Washington DC and supporting clients nationally. We provide Technology solutions for enterprise and government customers. Our team has a past performance in a diverse range of programs including those for Data Management, Cloud/Infrastructure, Software Development and Enterprise Applications.

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