Client is seeking a Advanced Analytics Team Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA. Responsibilities Responsible for overseeing a team of data analysts and data scientists to provide analytical support through machine learning, statistical analysis, causal analysis, and modeling and simulation within the people analytics team.
- Lead and collaborate with a team of data scientists, data analysts, and HR functional SMEs to understand business processes, develop analytical requirements, and interpret and communicate analytic results.
- Frame and scale data problems to effectively analyze, visualize, and derive data solutions.
- Understand and analyze complex, organization-specific datasets.
- Build models using machine learning, rule-based, or traditional statistical methods.
- Contribute to the development of the organization's advanced analytics strategy and roadmap.
- Implement and deliver technical and process consulting through management of standard consulting projects.
- Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools.
- Derive insights and analytic narratives from data and visualizations for effective storytelling and communication.
- Operate in a fast-paced, client-focused environment, delivering analysis and reporting.
- Develop techniques to integrate, consolidate, and structure data for analytical use.
- Advise non-technical customers on the interpretation and use of data analysis products, dashboards, and reports.
- Manage relationships with key stakeholders to ensure alignment of analytical solutions with business goals.
- Oversee project timelines, deliverables, and resources to ensure projects are completed on time and within budget.
- Stay updated with the latest advancements in analytics and data science, and provide technical guidance to the team.
- Provide training and mentoring to junior team members to build the team's overall capability.
- Ensure the accuracy and reliability of analytical outputs through rigorous quality assurance and validation processes.
QualificationsEducation:
- Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required.
- Advanced degree (master's or Ph.D.) in a relevant field is preferred.
Experience:
- 5-10 years of relevant experience, with at least 2 years as a technical lead or task lead.
- Proven track record of managing and delivering complex analytical projects.
Technical Skills:
- Proficiency in object-oriented programming languages such as Python and Java and/or experience with computational analysis tools like R and MATLAB.
- Familiarity with data science libraries such as scikit-learn, PyTorch, keras.
- Competence in creating meaningful data visualizations and interactive dashboards that communicate findings and relate them to business impact.
- Experience with visualization platforms like Tableau, Qlik, Power BI, RShiny, Plotly, and D3.js. Tableau expertise strongly preferred.
- Working knowledge of databases and strong SQL is desired.
- Preferred experience includes linking analytic and data visualization products to database connections.
- Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
- Experience with unstructured text and natural language processing is preferred.
Communication and Leadership:
- Superior communication skills, both oral and written, with the ability to convey complex technical concepts to non-technical stakeholders.
- Demonstrated ability to mentor and develop junior team members.
- Strong stakeholder management skills, with the ability to build and maintain relationships across the organization.
Additional Qualifications:
- Ability to work in a fast-paced, solutions-oriented environment.
- Strong analytical and problem-solving skills.
- Detail-oriented with a commitment to delivering high-quality work.
- Ability to work both independently and as part of a collaborative team.
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