Data Scientist Senior- #26-17426

Duties

• Model complex business problems and discover business insights through data mining techniques, statistical analysis, designing tools/applications, automation, and building high-quality prediction systems.
• Collaborate with leadership and subject matter experts (SMEs) from business units, key external business partners, and the IT organization to develop technology tools/applications, support digital plans & strategies, and identify and develop proof of concepts.
• Develop data analytics and visualization products that provide insights across the agency to external risks and opportunities with stakeholders, including LPC’s, Industrial Customers, Local, State, and Federal Officials, Community Involvement, and Economic Development current and potential customers.
• Lead efforts for identifying business insights through data structure, data mining, predictive models, and implementing innovative techniques for analysis and gathering business intelligence.
• Enable and inform key decision-making by producing data and models used in financial planning, business cases, economic development lead generation, customer and stakeholder analysis, reporting to regulators, and performing studies to optimize interactions in community involvement, and local and federal policy.
• Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient, selecting features, building and optimizing classifiers using machine learning techniques.
• Communicate complex data and modeling in a simple, actionable way and visualize data in the most effective way possible for a given project or study.
• Determine requirements that will be used to train and evolve deep learning models and algorithms.
• Data mining using state-of-the-art methods to identify trends and patterns and generate insights that optimize operational decisions and inform executive decision making.
• Extend company's data with third-party sources of information when needed and enhance data collection procedures to include relevant information for building analytic systems.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform ad-hoc analysis and present results in a clear manner using data visualization tools.
• Create automated anomaly detection systems and continuously track their performance.
• Generate key data reports to generate insights and drive operational decision making.
• Experiment to identify hidden relationships between variables in large data sets.
• Leverage both structured and unstructured data sources from across the agency.
• Use big data analysis tools and techniques.
• Play a key role in training, coaching, and upskilling current management & specialist team members, and advise management on maximizing data science capabilities for optimal decision-making.

Requirements

• Education: Degree in mathematics, statistics, computer science, economics, engineering, operations research, decision science, or a related quantitative field, plus professional experience performing analytics, including statistical analysis, mathematical modeling, and computer programming.
• Experience: At least five years of experience with advanced analytics, including predictive analytics, machine learning, deep learning, mathematical optimization, and risk simulation, in either an academic or professional setting. Ten or more years of experience is highly preferred.

Qualifications

• Strong ability to communicate complex data and modeling in a simple, actionable way.
• Ability to visualize data in the most effective way possible for a given project or study.

Skills

• Advanced analytics, including predictive analytics, machine learning, deep learning, mathematical optimization, and risk simulation.
• Data mining using state-of-the-art methods.
• Machine learning techniques.
• Big data analysis tools and techniques.
• Data visualization tools.
• Automated anomaly detection systems.
• Training and coaching current management & specialist team members.

Benefits

• Not specified

Pay

• Not specified

Schedule

• Not specified

About US Tech Solutions

About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer.