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Data Scientist

2 months ago

San Diego, United States Steerbridge Co, Inc. Full time

Position :

Data Scientist

Job Type:

Full-Time

Mode of Work:

Hybrid Defined as In-Office (Place of Performance) a minimum of 3 days a week or as directed by Supervisor and customer needs.

Place of Performance:

Marine Corps Air Station Miramar, 6200 Miramar Way, San Diego, CA 92145

POSITION OVERVIEW SteerBridge is looking for a 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:

(Highly preferred) AWS or Google Cloud Professional or Specialty Certification or ability to obtain certification.

Top 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 (Starting from $130,000 annually) A salary commensurate with background and experience will be offered. BENEFITS

Health insurance

Dental insurance

Vision insurance

Life Insurance

401(k) Retirement Plan with matching

Paid Time Off

Paid Holidays

SteerBridge Strategies is committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any characteristic protected under applicable law. SteerBridge Strategies will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.

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