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Your Impact:

Job Description:

Jacobs is seeking a Data Scientist Lead. As part of the Jacobs team, you will work closely with the client to understand their information requirements, before leveraging their data-rich environment to develop answers and solutions in support of real-world missions. Data science is present in every aspect of the mission. You will focus on building scalable data pipelines and analytic platforms to extract insights from data, leveraging open-source tools and managed cloud services. You will work with a cross-functional team of data scientists, software engineers, and subject matter experts applying elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make, and communicate principled conclusions from data and develop enterprise-grade analytic capabilities.

Program Mission:

U.S. Special Operations Command requires professional services to carry out culturally relevant internet-based influence activities for synchronizing, planning, generating, and assessing the effectiveness of the global program. These activities provide the Department of Defense with the ability to conduct persistent, networked, and distributed operations in the information environment to counter terrorist ideology, malign influence from state actors, and provide global stability.

This position is CONTINGENT upon contract award, the expected award date is in September 2023. Our recruiting team will follow up with you on your application and will be starting the interview evaluation process immediately.

Here’s What You’ll Need:

Basic Qualifications:

• 8+ years of experience with data science, data analytics, machine learning, or statistics, including in a management or advisory role

• 2+ years of experience in a management or advisory role

• Experience with object-oriented programming languages, including Python, C++, Java, R, and SQL.

• Experience with cloud services, including AWS and Azure.

• Experience with identifying and analyzing data sets to meet customer requirements

• Experience with preparing customer data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection

• Experience in data validation and cleaning to ensure the quality and integrity of data

• Experience with AI/ML, data algorithms, and predictive models

• Experience with data analysis and reporting, including dashboard development, data cleansing, metrics analysis, and research

• Ability to help interpret model results and communicate them clearly through compelling data visualizations

• TS/SCI

• Master’s degree in Data Science, CS, Mathematics, Engineering, Physics, or Statistics

Desired Qualifications:

• Experience with a wide range of supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction

• Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets

• Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models

• Experience with Agile development

• Experience with CI/CD, including Git, Jenkins, and Docker

• Knowledge of procedural SQL language, including PL and PGSQL

• Ability to explain analytic and model findings to non-technical audiences

• Experience with implementing data strategy and data governance practices

• Knowledge of natural language processing techniques

• Ability to create pivot tables, formulas, macros, and data models using Microsoft Excel and VBA

• Experience with implementing data strategy and data governance practices

• Knowledge of natural language processing techniques

• Ability to create pivot tables, formulas, macros, and data models using Microsoft Excel and VBA

#ANSdefense #MOIP #cjpost #LI-AV1 #TSS

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.