Staff ML/Analytics Engineer

Key Skills

Aartificial intelligence, Apache Hadoop, Data Analysis, Data science techniques, Effective communication skills, Leadership Skill, Machine learning techniques, NumPy, Pandas, Python Programming, R Programming, Scala Programming, Scikit-learn, SPARK Programming

Job Description

As a Staff ML/Analytics, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

In this role, you will:

• Work with customers to capture data and analytics requirements
• Develop, verify, and validate analytics to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Communicate methods, findings, and hypotheses with stakeholders.
• Develop data pipelines and workflows to streamline data collection, preprocessing, and model deployment processes, utilizing AWS cloud infrastructure.

Education Qualification

Bachelor's Degree in Computer Science or STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.

Desired Characteristics

• Proven experience (8+ years) in applying data science techniques to real-world problems, preferably in a business or industry setting.
• Proficiency in programming languages such as Python, R, or Scala, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong understanding of machine learning algorithms, including but not limited to supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with AWS-related AI/ML services, big data technologies, and distributed computing frameworks (e.g., Hadoop, Spark) is highly desirable.

Technical Expertise:

• Demonstrated skill in data management methods
• Demonstrated skill in feature extraction and realtime analytics development and deployment
• Demonstrated skill in prescriptive analytics and analytic prototyping

Domain Knowledge:

• Demonstrated skill in one or more industry sectors where GE operates
• Demonstrated skill in defining and delivering customer value

Leadership:

• Demonstrates clarity of thinking to work through limited information and vague problem definitions
• Influences through others; builds direct and "behind the scenes" support for ideas
• Proactively identifies and removes project obstacles or barriers on behalf of the team
• Shares knowledge, power, and credit, establishing trust, credibility, and goodwill

Personal Attributes:

• Able to work under minimal supervision
• Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
• Able to work well with global teams, including time-zone flexibility
• Skilled in providing oversight and mentoring team members. Shows ability to effectively delegate work

Note:

To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.