Data Science Manager
Englewood, CO - CO RMN, United States
Full Time Mid-level / Intermediate Clearance required USD 124K - 171K
Sierra Nevada Corporation
Sierra Nevada Corporation (SNC) is a trusted leader in innovative, advanced technology solutions and open architecture integrations in aerospace and national security.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
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:
To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.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.
Tags: AWS Big Data Business Intelligence Cassandra Data analysis Data Analytics Data governance Data management Data Mining Data pipelines Data quality Data visualization Data Warehousing DynamoDB ETL Finance HBase Machine Learning Matlab MongoDB NoSQL NumPy Pipelines PostgreSQL Power BI Predictive modeling PySpark Python R Redshift Scala Security SQL Statistics Testing Weka
Perks/benefits: 401(k) matching Career development Health care Insurance
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