Key areas of accountability include participating in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs;
Conduct Data Discovery, data preparation and data processing for business intelligence and ML / AI Models.
Exploring, promoting, and implementing semantic data capabilities through data analytics and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
Plan technical deliverables and definition of done for each sprint for the Jr. Data Engineers
Communicate and Present the Technical Deliverables to stakeholders and business in an easy-to-understand way.
Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems
Develop, validate, train and implement statistical models, and implement digital solutions
Participate on 3-4 projects/products concurrently
Demonstrate strong initiative to research and apply new methods to exceed customer expectations.
Have a strong focus on continual learning in the Analytics field

Requirements

Typically Master’s degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.
Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges.
Extensive experience (typically 8 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc)
Extensive experience with Snowflake and SQL
Advanced experience in DevOPs and ML-OPs
Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Good understanding of Agile Best Practices to work with Project Manager and Team to Plan, Effort Estimation, Check Quality, Document and Deliver on time with help of team.
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively; Presenting technical work in small or large setting of Stakeholders and Leaders.
Experience with GenAI is plus

Benefits

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonNumPySciPypandasMachine LearningClusteringLogistic RegressionRandom ForestsSVMNeural Networks

Soft Skills

initiativeinterpersonal skillscommunicationproblem-solvingcontinuous learningpresentation skillsteam collaborationanalytical thinkingadaptabilityleadership

Certifications

Master’s degree in Applied StatisticsMaster’s degree in Data ScienceMaster’s degree in Business AnalyticsMaster’s degree in Business Intelligence & AnalyticsMaster’s degree in MathematicsMaster’s degree in Computer ScienceMaster’s degree in EngineeringMaster’s degree in InformaticsMaster’s degree in Information Systems ManagementMBA with Technical Undergrad