Shuvel Digital
Clearance Requirement : Must have an active Secret Clearance to be considered.
Required Skills:
Support onsite in Los Angeles (El Segundo) 4-5x a week.
Bachelor's Degree in Computer Science, Engineering, Mathematics, or related fields (consider relevant work experience as a substitute).
5+ years of experience in analytics, data visualization, and data science (e.g., algorithms, NLP).
Knowledge of data analytics, visualization, BI principles, and tools (e.g., R, Python, Tableau, PowerBI).
Experience leading development of analytics products, applying visualization and statistical tools to enterprise data for mission outcomes.
Strong communication skills for conveying technical info to diverse audiences.
Preferred Skills:
Advanced degrees (Master's or higher) in related fields.
Experience with project management, innovation, and design thinking frameworks.
Expertise in AI/ML algorithm development.
Analytical skills for strategic data analysis and recommendations.
Proficiency in Python, R, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
Experience with Agile, cloud platforms (AWS, Azure, GCP), big data (Hadoop, Spark).
Data engineering skills (ETL, data pipelines).
Knowledge of UI/UX principles for data visualization.
Ability to design scalable architectures and access controls.
Familiarity with MLOps and tools like Databricks MLFlow.
Project management and multitasking skills.
Problem-solving and strategic thinking abilities.
Willingness to learn and adapt to new tech.
Day-to-day Responsibilities:
Drive analytics efforts, deliver insights supporting strategic goals.
Support full spectrum of analytics: requirements, analysis, modeling, insights, communication.
Develop analysis and visualization methodologies and tools.
Process raw data, identify trends, and create assessments using tools like Tableau, PowerBI.
Develop AI/ML models with focus on accuracy.
Perform data cleaning, EDA, statistical analysis, visualization in an Agile setting.
Design and maintain scalable AI architectures with monitoring and access controls.
Mentor junior team members, ensuring quality and development.
Communicate with stakeholders via meetings, demos, and support activities.
Expected Deliverables:
Collaboration and requirement gathering.
Understanding business questions.
Translating business needs to technical specs.
Selecting analytic tools.
Defining performance metrics and datasets.
Assessing AI opportunities.
Conducting EDA.
Developing dashboards and models.
Deploying and monitoring products.
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Required Skills:
Support onsite in Los Angeles (El Segundo) 4-5x a week.
Bachelor's Degree in Computer Science, Engineering, Mathematics, or related fields (consider relevant work experience as a substitute).
5+ years of experience in analytics, data visualization, and data science (e.g., algorithms, NLP).
Knowledge of data analytics, visualization, BI principles, and tools (e.g., R, Python, Tableau, PowerBI).
Experience leading development of analytics products, applying visualization and statistical tools to enterprise data for mission outcomes.
Strong communication skills for conveying technical info to diverse audiences.
Preferred Skills:
Advanced degrees (Master's or higher) in related fields.
Experience with project management, innovation, and design thinking frameworks.
Expertise in AI/ML algorithm development.
Analytical skills for strategic data analysis and recommendations.
Proficiency in Python, R, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
Experience with Agile, cloud platforms (AWS, Azure, GCP), big data (Hadoop, Spark).
Data engineering skills (ETL, data pipelines).
Knowledge of UI/UX principles for data visualization.
Ability to design scalable architectures and access controls.
Familiarity with MLOps and tools like Databricks MLFlow.
Project management and multitasking skills.
Problem-solving and strategic thinking abilities.
Willingness to learn and adapt to new tech.
Day-to-day Responsibilities:
Drive analytics efforts, deliver insights supporting strategic goals.
Support full spectrum of analytics: requirements, analysis, modeling, insights, communication.
Develop analysis and visualization methodologies and tools.
Process raw data, identify trends, and create assessments using tools like Tableau, PowerBI.
Develop AI/ML models with focus on accuracy.
Perform data cleaning, EDA, statistical analysis, visualization in an Agile setting.
Design and maintain scalable AI architectures with monitoring and access controls.
Mentor junior team members, ensuring quality and development.
Communicate with stakeholders via meetings, demos, and support activities.
Expected Deliverables:
Collaboration and requirement gathering.
Understanding business questions.
Translating business needs to technical specs.
Selecting analytic tools.
Defining performance metrics and datasets.
Assessing AI opportunities.
Conducting EDA.
Developing dashboards and models.
Deploying and monitoring products.
#J-18808-Ljbffr