Data Science Manager

Overview

Remote
On Site
USD 124,771.42 - 171,560.71 per year
Full Time

Skills

Data Management
Artificial Intelligence
Big Data
Decision-making
Strategic Management
Accounting
Human Resources
Legal
Information Security
Data Collection
Organizational Skills
Marketing
Sales Operations
Product Development
Risk Management
Finance
Purchase Orders
Dashboard
Project Scoping
Quality Control
Data Integrity
Data Governance
Data Quality
Team Management
Mentorship
Cross-functional Team
Analytics
Data Analysis
Management
Testing
Regression Analysis
Machine Learning (ML)
Algorithms
Business Intelligence
Reporting
Supply Chain Management
Analytical Skill
Statistics
Data Mining
Predictive Modelling
Business Acumen
Communication
Leadership
Programming Languages
SQL
Apache Hive
Apache Pig
Scripting
Python
PySpark
Scala
Data Science
R
Weka
NumPy
MATLAB
Data Visualization
Microsoft Power BI
Extract
Transform
Load
Data Warehouse
Amazon Web Services
Remote Desktop Services
Amazon RDS
PostgreSQL
Amazon Redshift
NoSQL
Database
MongoDB
Apache Cassandra
Apache HBase
Amazon DynamoDB
Training
Life Insurance
Aerospace
FOCUS
Innovation
Art
SNC
Law

Job Details

Do you have an eye for detail and a passion for developing innovation solutions? Join our team! As a Data Science Manager, you will work Business Partners, Business Analysts, Project Managers, and other IT teams to ensure a tight fit between Business Intelligence/Analytics environment, business requirements, and the Data Management platforms. You are responsible for combining data from multiple sources into BI-specific data models to create meaningful reports, visualizations, and dashboards. Ultimately, your goal will be able to help your customers discover actionable insights and data-driven decisions. You will also support Data Science efforts including predictive/prescriptive analytics and AI analysis of big data.

Position responsible for extracting meaningful insights from an organization's data, translating complex information into actionable strategies, and guiding decision-making across different departments by leveraging data analysis and reporting capabilities to identify trends, patterns, and opportunities for improvement within the business.

As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:
  • Data collection and analysis: Gathering data from various sources, cleaning and organizing it, and performing in-depth analysis using statistical methods and data visualization tools to uncover key insights.
  • Developing data-driven strategies: Transforming insights into actionable plans and recommendations for different business functions like marketing, sales, operations, and product development.
  • Risk Management: Development and management of supplier through the S2P Risk Center that includes all data sources such as supplier performance, scorecards, cyber, financial risk and resiliency in accordance with the risk framework while seeking methods to provide insights to SCM team(s) to make more informed decision during supplier selection, award, contracting and during the purchase order lifecycle.
  • Building dashboards and reports: Creating visually appealing dashboards and reports to effectively communicate key metrics and performance trends to stakeholders at all levels.
  • Leading data analysis projects: Initiating and managing data analysis projects, including identifying relevant data sets, defining project scope, and collaborating with cross-functional teams.
  • Data governance and quality control: Ensuring data integrity by establishing data governance practices, monitoring data quality, and identifying potential data issues.
  • Team management and mentorship: Leading a team of cross-functional team members, providing guidance, and developing their analytical skills.

Qualifications You Must Have:
  • B.A. (or equivalent degree) in Analytics/Business Intelligence or a related field - a higher level degree may substitute for relevant experience.
  • Typically, 6+ years of progressive IT or data analytics, which includes 0-2+ years of management experience.
  • Strong ability to prioritize and communicate to technical and non-technical audiences
  • Understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Understanding of machine learning techniques and algorithms
  • Deep understanding of Business Intelligence / Data Warehousing concepts
  • Advanced experience with reporting tools (Power BI)
  • Solid SQL skills and the ability to write complex, highly-optimized queries
  • Knowledge of Supply Chain management, including technology, processes and associated data, KP
  • Strong analytical skills: Expertise in statistical analysis, data mining techniques, and predictive modeling.
  • Data visualization skills: Proficiency in using data visualization tools to present complex data in a clear and impactful manner.
  • Business acumen: Understanding of key business drivers and the ability to translate data insights into actionable business strategies.
  • Communication skills: Effectively communicating data insights to both technical and non-technical audiences, including senior leadership.
  • Programming skills: Knowledge of programming languages like Python, R, SQL to manipulate and analyze large datasets.

Qualifications We Prefer:
  • Previous experience using query languages such as SQL, Hive, Pig, etc
  • Previous experience using scripting languages: Python, PySpark, Scala, R, etc
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, AWS Sagemanker, etc.
  • Experience with data visualization tools, such as Power BI, Tableu, etc
  • Experience building data pipelines and driving ETL design decisions
  • Experience with AWS Data Warehousing: AWS RDS (PostgreSQL), Redshift
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Amazon DynamoDB

Estimated Starting Salary Range: $124,771.42 - $171,560.71. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.