GE Vernova is hiring for a fresher entry level Data Science Specialist role in India

Position:

• Title: Data Science Specialist

Company:

• Name: GE Vernova

Location:

• City: Bengaluru

• State: Karnataka

• Country: India

Job Type:

• Type: Full-time

Job Mode:

• Mode: On-site

Job Requisition ID:

• ID: Not specified

Years of Experience:

• Experience: Early career; 0-3 years
  

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Company Description:

• GE Vernova is a purpose-driven company aiming to electrify the planet while simultaneously working to decarbonize it.

• The company operates in the electric power generation sector and employs over 10,001 individuals globally.

• As a forward-thinking organization, GE Vernova focuses on innovation and sustainability to address global energy challenges.

• With 3+ million followers on LinkedIn, GE Vernova has established itself as a key player in advancing clean energy solutions.

• The company is committed to fostering a work environment that values creativity, collaboration, and impactful contributions from its employees.

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Profile Overview:

• The Data Science Specialist will work in teams to address statistical, machine learning, and data understanding challenges in a commercial setting.

• The role involves contributing to the development and deployment of machine learning, operational research, and statistical methods to analyze large datasets.

• This position requires collaboration with interdisciplinary teams, including statisticians, software engineers, product managers, and end-users.

• Responsibilities include developing analytics, performing exploratory data analysis, and translating algorithms into commercially viable solutions.

• Application areas span across infrastructure monitoring, diagnostics, financial risk assessments, and operations optimization.

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Qualifications:

• Education:

  • Bachelor’s Degree in Computer Science or STEM fields (Science, Technology, Engineering, Math).

  • Basic experience for roles outside the USA.

• Technical Skills:

  • Proficiency in descriptive statistics for assessing dataset quality.

  • Experience with predictive and prescriptive analytics for industrial applications.

  • Awareness of data visualization techniques for storytelling and stakeholder engagement.

• Leadership Skills:

  • Understanding of effective teamwork dynamics.

• Personal Attributes:

  • Curiosity and creativity to drive impactful business solutions.

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Roles and Responsibilities:

Core Responsibilities:

• Develop analytics within structured projects to address customer needs and opportunities.

• Collaborate with software developers to translate algorithms into viable products and services.

• Participate in the development, deployment, and application of applied, predictive, and prescriptive analytics.

• Conduct exploratory and targeted data analyses using descriptive statistical methods.

• Collaborate with data engineers for data quality assessments, cleansing, and analytics.

• Generate reports, annotated code, and artifacts to document and communicate outcomes.

• Share and discuss findings with team members for continuous improvement.

Team Collaboration:

• Work with interdisciplinary teams, including statisticians, computer scientists, and product managers.

• Engage with end-users to understand and address real-world challenges.

Application Areas:

• Remote monitoring and diagnostics across infrastructure and industrial sectors.

• Financial portfolio risk assessments.

• Operations optimization for improved efficiency.

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Additional Info:

• Relocation Assistance: Not provided.

• Legal Compliance:

  • For US-based roles, experience requirements are specified to comply with legal and immigration policies.

  • Outside the USA, focus is on substantive experience rather than specific years.

• Work Environment:

  • Collaborative, innovative, and focused on creating business impact through data-driven solutions.

• Documentation:

  • Employees are expected to document and archive project outcomes effectively.

• Career Growth:

  • Opportunities to work on cutting-edge technologies in a supportive team setting.

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Notes:

• The job description is designed to provide an overview and is not exhaustive.

• Responsibilities and duties may vary based on the specific employment contract or agreements.

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By joining GE Vernova as a Data Science Specialist, you will contribute to groundbreaking projects that address global challenges in energy and sustainability. Your expertise in data science and machine learning will play a vital role in advancing the company's mission to electrify and decarbonize the planet.

Please click here to apply.

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