Sr. Data Scientist

Job Description

·        Cybersecurity is seeking a Sr. Data Scientist to join the Cyber AI team. This position will use machine learning, data engineering and Data Science principles to solve enterprise problems. This role is a key contributor to our practice and will be directly responsible for design, development, deployment and automation. The successful candidate will work closely with key stakeholders to rapidly advance the use of analytics and Data Science for cybersecurity. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across the firm. The Sr. Data Scientist will have demonstrated experience as a problem-solver, working alongside IT and business partners, and act as a trusted consultant.  This position will be expected to take full accountability of data analysis and developed systems, and present a clear, accurate interpretation of results to stakeholders and structure business problems and drive viable, data-driven hypotheses in collaboration with business partners.

Responsibilities include but not limited to: 

·        Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques.

•       Identify, Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc.)

·        Ability to identify needs and opportunities for advancements in innovations and processes.

·        Able to work proactively and take initiative without being specifically directed.

·        Effectively measure data throughput from machine learning, and benchmark against KPIs to mitigate risks, provide transparency, and identify opportunities.

·        Effectively manages expectations with stakeholders throughout analysis and development.

·        Ability to perform in depth data analysis including but not limited to

•                 Machine Learning

•                 Classification

•                 Optimization

•                 Time Series analysis

•                 Pattern Recognition

•       Ability to communicate complex topics in an easy-to-understand manner when presenting to management.

•       Ability to visualize data and intelligence in easy-to-understand story telling.

Requirements

Required Skills

•     B.S/BTech in aScience, Technology, Engineering, Mathematics (STEM) or Economics related field of study.

•     3 or more years with relational or NoSQL databases (Oracle, Teradata, SQL Server, Hadoop, ELK, etc.)

•     5 or more years working with languages such as R, Python or Java

•     5 or more years working with advanced statistical methods such as regressions, classifiers, recommenders, anomaly detection, optimization algorithms, tree methods, neural nets, etc.

•     Experience presenting and delivering results to business partners and leadership.

Preferred

•     M.S./MTech or PhD in aScience, Technology, Engineering, Mathematics (STEM) or Economics related field of study.

•     2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.)

•     2 or more years practicing scientific research methodology such as CRISP-DM

•     2 or more years using AWS cloud services (SageMaker, Lambda, DynamoDB, EC2, Lex, Rekognition, etc.)

•     2 or more years working in a Splunk environment.

•     2 or more years applying agile SDLC.

Last updated on Feb 27, 2024