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
$ 160KJob 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.