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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


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.


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.


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.


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.


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.


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.


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.


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