Data Scientist in El Cajon

Energy Jobline
El Cajon, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 176K

Job location

El Cajon, United States of America

Tech stack

Java
Agile Methodologies
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Artificial Neural Networks
Azure
C++
Information Systems
Computer Programming
Computer Engineering
Continuous Integration
Customer Data Management
Information Engineering
Data Visualization
Elasticsearch
Fraud Prevention and Detection
Python
Machine Learning
Power BI
Cloud Services
DataOps
SQL Databases
Tableau
Unstructured Data
Google Cloud Platform
GIT
SC Clearance
Information Technology
Data Analytics
QlikView
Feature Selection
Apache Nifi
Machine Learning Operations
Data Pipelines
Devsecops
Docker
Jenkins
Databricks

Job description

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to intelligence-we need you to help find the answers in the data.

Requirements

  • 3+ years of experience in a professional environment \n

  • Experience with data science, data analytics, machine learning, or statistics \n

  • Experience writing sof tware in programming , including Python, C++, Java, or R \n

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

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

  • Knowledge of Cloud services, including AWS, Azure, or Google Cloud \n

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

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

  • Ability to obtain a Secret clearance \n

  • Bachelor's degree \n, * Experience with supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction \n

  • Experience with DoD information systems \n

  • Experience with Palantir products such as AIP, and Foundry \n

  • Experience with self-service analytics and visualizations tools such as Qlik, Tableau, Power Platform, or PowerBI \n

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

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

  • Experience with Agile development \n

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

  • Knowledge of procedural SQL , including PL or pgSQL \n

  • Master's degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, Sof tware Engineering or a related field \n

Benefits & conditions

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, , financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your and prevent fraud.

Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n

  • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. \n

  • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. \n

\n Commitment to Non-Discrimination

About the company

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Apply for this position