Rocket Software is hiring for a fresher entry level Assistant Data Scientist

Position:

• Assistant Data Scientist

Company:

• Rocket Software Inc.

Location:

• Chennai, India
• Bengaluru, India
• Pune, India
• Hyderabad, India

Job Type:

• Full-Time

Job Mode:

• Onsite

Job Requisition ID:

• R2023-3963

Years of Experience:

• 0–2 years of industry experience (fresh graduates are encouraged to apply).

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Company Description:

• Rocket Software Inc. is a global leader in providing cutting-edge technology solutions to help enterprises manage and maximize their critical infrastructure, business processes, and data.
• With a legacy dating back to 1990, Rocket Software has built a reputation for innovation and customer focus. Headquartered in Waltham, Massachusetts, the company operates from 31 offices worldwide.
• Rocket’s software powers mission-critical systems for thousands of companies, enabling them to leverage advanced analytics, cloud computing, and other innovations. From automotive systems to the fashion industry, Rocket's impact spans diverse sectors.
• At Rocket, the emphasis is on treating every stakeholder—customers, partners, and employees—with respect and integrity. The company fosters an inclusive workplace and prioritizes diversity, equity, and inclusion across its workforce.
• Rocket is proud to be an equal-opportunity employer, ensuring compliance with fair employment practices and providing reasonable accommodations to individuals with physical or mental disabilities.

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Profile Overview:

• The Assistant Data Scientist role is an entry-level position designed for individuals with a passion for data science and machine learning.
• As a part of Rocket's Data Modernization Business Unit, you will contribute to developing and refining solutions that help clients optimize their enterprise data assets.
• You will work closely with senior data scientists and machine learning experts, learning and assisting in the creation and deployment of state-of-the-art models.
• The role involves tasks such as understanding business needs, framing model requirements, and collaborating with stakeholders to ensure successful project execution.
• It is a unique opportunity to grow professionally while gaining hands-on experience in cutting-edge machine learning techniques, Python programming, computational linguistics, and image processing.
• If you have a strong desire to innovate, learn, and contribute to real-world solutions, this role will provide the perfect platform for your growth and development.

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Qualifications:

Required:

• Educational Background:
  • Bachelor's degree in Statistics, Computer Science, Economics, or related fields.
• Technical Skills:
  • Proficiency in Python programming and Linux environments.
  • Familiarity with machine learning frameworks.
• Soft Skills:
  • Strong problem-solving abilities and creative thinking.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
• Experience:
  • 0–2 years of relevant industry experience (fresh graduates welcome).
• Analytical Abilities:
  • Foundational knowledge of data science methodologies for extracting, processing, and transforming data from diverse sources.

Preferred:

• Advanced Education:
  • Master’s degree or current enrollment in a master’s program in Statistics, Computer Science, Mathematics, Economics, or related fields.
• Additional Attributes:
  • Demonstrated enthusiasm for continuous learning and innovation.
  • Adaptability and a proactive attitude towards solving challenges in a fast-paced work environment.

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Essential Duties and Responsibilities:

• Machine Learning Development:
  • Assist in creating, fine-tuning, and deploying machine learning models to address complex business challenges.
• Stakeholder Collaboration:
  • Work closely with internal and external stakeholders to gather model requirements and explore potential applications.
• Analytic Planning:
  • Contribute to the development of sound analytical plans based on available data sources, business needs, and project timelines.
• Model Integration:
  • Collaborate with software engineers to ensure the seamless integration of trained models into end-user applications.
• Project Management:
  • Help manage deliverables across multiple projects while adhering to deadlines.
• Communication:
  • Present results, insights, and actionable recommendations to both technical and non-technical audiences.

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Additional Info:

Diversity and Inclusion:

• Rocket Software is committed to fostering an inclusive workplace where every employee feels valued and empowered to contribute their best.
• The company actively promotes diversity, equity, and inclusion and ensures all hiring practices are aligned with these principles.
• Rocket Software believes in treating employees as "Rocketeers" and encourages them to bring their authentic selves to work.

Equal Opportunity Employer:

• Rocket Software ensures equal employment opportunities for all applicants, regardless of race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status.
• The company complies with all fair employment practices regarding citizenship and immigration status.

Support for Individuals with Disabilities:

• Rocket Software is dedicated to supporting employees and applicants with disabilities by providing reasonable accommodations.
• If special assistance or accommodations are needed during the application process, the company encourages candidates to reach out to their designated support channels.

Work Culture:

• Rocket Software values innovation, collaboration, and a growth mindset.
• Employees are encouraged to think creatively, take ownership of their projects, and push boundaries in a supportive environment.
• The company thrives on teamwork, ensuring that every Rocketeer contributes to the organization’s mission of solving complex business problems with cutting-edge solutions.

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If you are a motivated individual with a passion for data science, Rocket Software offers an excellent platform to build your career, gain hands-on experience, and contribute to transformative solutions.

Please click here to apply.

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