Data Scientist

Akira Technologies is seeking a highly skilled Data Scientist Expert to join our team for a critical project supporting the United States Army. As a key member of our team, you will leverage your expertise in data analysis, machine learning, and statistical modeling to derive actionable insights and drive data-driven decision-making for Army initiatives. This position offers a unique opportunity to contribute to national defense while working with cutting-edge technologies in a dynamic and collaborative environment. 

This role is mostly remote with occasional onsite presence in the DC Metro Area.

Job Responsibilities: 

• Data Analysis and Exploration:  Conduct exploratory data analysis to understand and visualize complex datasets, identifying patterns, trends, and anomalies that inform decision-making and drive insights. 
• Statistical Modeling:  Develop and apply statistical and machine learning models to analyze data, extract insights, and generate predictions and recommendations that support Army objectives and priorities. 
• Predictive Analytics:  Build predictive models and forecasting algorithms to anticipate future events, trends, and outcomes, enabling proactive decision-making and resource allocation. 
• Data Visualization:  Design and create interactive visualizations and dashboards to communicate analytical findings and insights to stakeholders, enabling data-driven decision-making at all levels of the organization. 
• Feature Engineering:  Engineer and select relevant features and variables from raw data to enhance model performance and predictive accuracy, leveraging domain knowledge and expertise. 
• Model Evaluation and Validation:  Evaluate model performance and validity using appropriate metrics and techniques, conducting rigorous testing and validation to ensure reliability and generalizability. 
• Collaboration and Communication:  Collaborate with cross-functional teams, including data engineers, software developers, and subject matter experts, to define data science use cases, gather requirements, and deploy solutions that meet business needs.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; Master's degree or PhD preferred. 
• Minimum of 10 years of experience in data science, with a strong proficiency in data analysis, statistical modeling, and machine learning techniques. 
• Expertise in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
• Demonstrated experience in applying statistical and machine learning algorithms to real-world datasets, with a strong understanding of model evaluation and validation techniques. 
• Proficiency in data visualization tools such as Tableau, Power BI, or matplotlib/seaborn, and the ability to create compelling visualizations that effectively communicate analytical findings. 
• Strong analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns and trends, and extract actionable insights. 
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with team members and stakeholders at all levels of the organization. 
• Active Secret clearance or higher.

About Akira Technologies:  

Akira strives to meet and exceed the mission and objectives of US federal agencies. As a leading small business cloud modernization and data analytics services provider, we deliver trusted and highly differentiated solutions and technologies that serve the needs of our customers and citizens. Akira serves as a valued partner to essential government agencies across the intelligence, cyber, defense, civilian, and health markets. Every day, our employees deliver transformational outcomes, solving the most daunting challenges facing our customers.  

Akira is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.