Data Scientist SME

EMD Strategies, LLC is seeking a highly skilled and motivated Data Scientist to join our dynamic team and assist our federal client. The ideal candidate will leverage their expertise in data analysis, machine learning, and statistical modeling to extract valuable insights from complex datasets. This role requires a strong background in programming and database management, as well as the ability to communicate findings effectively to stakeholders. The Data Scientist will play a crucial role in driving data-driven decision-making within the organization.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies.
• Develop predictive models using machine learning techniques and algorithms.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Design and implement database structures for efficient data storage and retrieval.
• Utilize tools such as TensorFlow, Spark, and Talend for data processing and analysis.
• Conduct data mining activities to uncover hidden solutions within datasets.
• Create visualizations and reports to present findings clearly to stakeholders.
• Maintain up-to-date knowledge of industry trends and advancements in data science technologies.
• Provides technical knowledge and analysis of highly specialized applications and operational environments, high-level functional IT systems analysis, design, integration, documentation, and implementation advice on exceptionally complex problems that need extensive knowledge of the subject matter for effective implementation.
• Applies advanced mathematical principles, methods, and knowledge of the functional area of expertise in compiling and fusing data from multiple IT systems to meet specific task order requirements to exceptionally difficult and narrowly defined problems.

Requirements

• 10 Years of experience in Data Management and Analytics 
• Proficiency in programming languages such as Java and VBA.
• Experience with cloud services like AWS for deploying models and managing data.
• Strong understanding of big data technologies and frameworks.
• Familiarity with database design principles and best practices.
• Previous experience with data mining techniques and tools.
• Knowledge of machine learning frameworks, particularly TensorFlow.
• Ability to work independently as well as collaboratively within a team environment.
• Excellent analytical skills with a keen attention to detail.
• Shall be a subject matter expert with demonstrated experience serving as a data scientist on a complex technology implementation or data analytics project.
• Expertise leading moderate data science teams and has knowledge across business operations and development.
• Working knowledge of federal grant-making policies, procedures, and administration.
• Strong expertise in applying pattern recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources.
• Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
• Expertise developing interrogating databases with Structure Query Language (SQL) to develop complex queries involving joins, subqueries, aggregation, indices, common table expressions, and query optimization/plans.
• Development experience, with a focus on data manipulation and/or statistics, using one or more of these languages or applications: Python, R, SAS, Tableau, AWS.
• Experience in both small and big data environments with an understanding of the tradeoffs in scaling algorithms between differing environments.
• The ability to code and debug stored procedures is desirable.

Job Type: Full-time

Pay: $180,000.00 - $220,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Retirement plan
• Vision insurance
• Monday to Friday

Citizenship: Must be US citizen w/ the ability to obtain a Public Trust Clearance

Work Location: Hybrid remote in Washington, DC 20001