Demo

Senior Data Scientist

NFF
Mc Lean, VA Full Time
POSTED ON 2/5/2025
AVAILABLE BEFORE 4/28/2025

About NFF

Since 1996, NFF has designed, architected, and delivered IT network and security solutions to many state, and local government agencies, K-20 educational institutions, federal agencies, and large enterprise businesses across the mid-Atlantic. NFF is a technology services and solutions provider, specializing in next-generation IT infrastructure including networks, data centers, cloud migrations, IT security, collaboration and mobility, and full / part-time staff augmentation services. Our solutions, professional services and IT staffing portfolio are centered around building more resilient, secure, adaptive, and intelligent IT infrastructure and include comprehensive assessment, architecture, design, integration and installation services, and ongoing performance management services though our Network Operations Center (NOC).

NFF is a Cisco Gold Partner with a Customer Experience Specialization and was a "Cisco Top-5 Mid-Atlantic SLED Partner" in 2019, 2020 and 2022. NFF has maintained Cisco Gold Partnership since 2008, is the only Cisco Gold Partner headquartered in the District of Columbia. In addition to Cisco, NFF has key partnerships with many manufacturers and IT solution providers including, Rapid7, Arctic Wolf, VMware, NetApp and Splunk.

NFF is a District of Columbia (DC) Certified Business Enterprise (CBE) and a SBA Certified Small Business with headquarters in downtown Washington, DC. Our dedication to quality is reflected in our accomplishment of being awarded multiple ISO 9001 : 2015 certifications.

About this Position / Responsibilities

  • Provide expert guidance to the team on complex business problems, offering strategic insights and recommendations for advanced analytics solutions included analytics models and AI / ML solutions.
  • Conduct autonomous end-to-end more complex statistical model creation, including but not limited to identifying objectives, compiling data, sampling / prepping data, feature selection, model comparison / selection, deployment, and monitoring. Ensures adequate internal control processes around model development, implementation and validation are established.
  • Partner with other competency leads / developers, Data scientists, Data Analysts, Data stewards and support project planning, technical design, development, and solution deployment functions.
  • Provide guidance and mentorship to junior team members involved in major team projects such as model development and model validation, etc.
  • Establish consistent and robust model implementation processes across models with effective review and controls.
  • Lead the development, monitoring, and maintenance of advanced risk models using cutting-edge machine learning and statistical methods, proactively researching and recommending innovative approaches to enhance model performance and accuracy.
  • Establish standardized documentation processes and consistent model implementation practices across the team, fostering collaboration with stakeholders to enhance model implementation processes and ensure seamless integration into forecasting tools.
  • Collaborate with IT and data engineering teams to ensure efficient data management, data quality, and data integration for analytics projects.
  • Foster a culture of data-driven decision-making and promote the use of advanced analytics across the organization.
  • Communicate effectively with senior management, regulators, internal audit, and other stakeholders regarding model development and implementation, demonstrating strong interpersonal skills and the ability to convey complex concepts clearly and concisely.
  • Participate in regular interactions with stakeholders to improve model implementation processes, integrating feedback and requirements into forecasting tools for effective utilization and optimal performance.
  • Partner with cross functional teams to continually improve data governance, data quality, and data security in a multi-tenant environment; standardize data.

Qualifications

  • Ph.D. or Master's Degree in a quantitative discipline, with a strong emphasis on advanced statistical modeling, machine learning, or data science.
  • Minimum of four (4) years of related work experience in building statistical models and advanced data analysis.
  • Proficiency in a broad range of advanced statistical techniques, including but not limited to Logistic Regression, Linear Regression, Time Series Analysis, Decision Trees, Cluster Analysis, Gradient Boosting Machine, and other machine learning algorithms required.
  • Advanced programming skills, with demonstrated proficiency in statistical programming languages such as SQL, SAS, Python, and R, as well as experience in leveraging advanced analytics tools and platforms.
  • Ability to manage multiple projects simultaneously and implement rapid changes in project direction.
  • Demonstrate strong data analysis skills, ability to understand underlying data and complex loss / balance forecasting models, various product features, possess organizational and prioritization skills, as well as strong attention to detail.
  • Critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team.
  • Professional demeanor and the ability to interact effectively with team members, senior management, credit officers, finance professionals, regulators, and other stakeholders, fostering collaborative relationships and driving consensus on key initiatives.
  • Work experience using ETL tool is a plus
  • 1 years' Experience using cloud-native tool like AWS S3 and Snowflake
  • Excellent oral and written communication skills required.
  • NFF Disclosures

    NFF offers a competitive salary, comprehensive benefits and flexible paid time off options, for eligible employees :

  • Medical, Dental and Vision, Health Savings Account, Flexible Spending Account
  • STD, LTD, Supplemental life insurance and ADD&D
  • Comprehensive 401k plan
  • Paid Time Off
  • NFF is an Equal Opportunity Employer.

    Important Notice : All NFF Inc communications come from @nffinc.com. Emails from other domains claiming to be NFF are likely scams. Be cautious, verify senders, and report suspicious messages immediately.

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