**Data Scientist** **COMPANY OVERVIEW** Our client is a CVE-Verified Service Disabled, Veteran Owned Small Business, (SDVOSB) providing a wide array of professional services to the U.S. Government and private sector. We leverage decades of federal acquisition and procurement experience to deliver best in class commercial solutions for government agencies while maximizing veteran talent. **POSITION OVERVIEW** Seeking Data Scientist to evaluate multi-dimensional USMC F35 global supply chain and operational data to construct and maintain predictive models. Candidates must be familiar with multiple types of data models including, but not limited to, generalized linear and multilinear regression, logistic and multinomial regression, and time series analysis. Candidates must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction). The Data Scientist must be prepared to dive deep into disparate data from multiple sources in multiple formats in order to integrate and evaluate to determine the most appropriate modeling approach. The Data Scientist will be responsible for leading end-to-end analytical models and data science framing activities, including but not limited to working with partners to identify fields, data provenance and integration, data quality assessments, and documentation of data processes and models. The Data Scientist must be able to review and understand large sets of data while being able to highlight relevant trends and patterns. The ideal candidate is a quick learner, curious, innovative, results-oriented and has strong interpersonal skills. **REQUIRED** + MSc or PhD degree in applied mathematics, statistics, or relevant work experience. + An active security clearance or the ability to obtain one is required. (U.S. Citizenship required for security clearance.) **RESPONSIBILITIES** + Collaborate with various stakeholders to understand requirements and translate those requirements into data science solutions. + Provide guidance on best practices and industry standards across data science and analytics, data visualization, and share expertise to improve technical capabilities of the team. + Design, develop, and integrate templates, data, and models for repeatability. + Develop and implement data quality assurance and management protocols. + Create, maintain, and organize technical documentation for all data collection, cleaning, and analyses. **PROFESSIONAL EXPERIENCE / QUALIFICATIONS Required:** + **Must be familiar with multiple types of data models including, but not limited to, generalized linear and multilinear regression, logistic and multinomial regression, and time series analysis.** + **Must have hands-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).** + **5+ years of experience** evaluating relationships in data using statistical modeling and leveraging analytics tools. + **5+ years of experience** in advanced Classification and Regression modeling. + **5+ years of professional proficiency using Python or R for data wrangling and model building.** + Proficiency in Python, with extensive hands-on experience using the Pandas library for data manipulation and analysis. + Experience in SQL or Spark SQL, and basic database design. + Cloud project work using Google, AWS and/or Azure. + Demonstrated high proficiency in statistical analysis and data visualization. + Demonstrated high proficiency in data wrangling and documentation. + Solid technical skills across a wide variety of tools and data platforms. + Able to successfully prioritize and manage multiple project tasks simultaneously and complete them in a timely manner with a high degree of accuracy. · Strong record of applied data analysis. + Excellent writing and presentation skills with a successful track record of communicating complex concepts to diverse audiences. **_Preferred experiences_** : + (Highly preferred) AWS or Google Cloud Professional or Specialty Certification or ability to obtain certification. + Secret security clearance. + Demonstrated experience in Predictive Maintenance, including the development and implementation of machine learning models to predict equipment failures and optimize maintenance schedules within supply chain systems, preferably in aerospace or defense sectors. + Experience with supply chain management data systems and technology is desirable (e.g., ERP, Transportation Management and Warehouse Management systems). + Experience supporting DoD and/or VA missions. + Proficiency in integrating and interfacing with software development processes. + Consulting experience. **COMPENSATION** $175,000 to $225,000 The above salary range represents the range expected for the position; however, final salary offers are based on a number of factors such as the position’s responsibilities; the candidate’s experience, education, and skills; location; travel required; and current market conditions **BENEFITS** + Health insurance + Dental insurance + Vision insurance + Life Insurance + 401(k) Retirement Plan with matching + Paid Time Off + Paid Holidays **This program requires US Citizenship** **_ABBTECH is an EOE/Minorities/Women/Disabled Individuals/Veterans_** **_tag#IND1_**