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Data Science Engineer III

AT Thermo Fisher Scientific
Thermo Fisher Scientific

Data Science Engineer III

Bangalore, India

Work Schedule
Other

Environmental Conditions
Office

Job Description

The presence of a Data Science Engineer in a Data Analytics team is pivotal for building and maintaining robust data infrastructure and scalable solutions. They develop and deploy data pipelines, design data architectures, and optimize systems for data processing and analysis, ensuring the reliability, efficiency, and scalability of the analytics platform to support the team's data-driven initiatives.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes to support data analytics and reporting.
  • Build and optimize data architectures for storage, retrieval, and processing of large datasets.
  • Collaborate with data analysts and business analysts to understand data requirements and ensure data integrity and quality.
  • Conduct exploratory data analysis to identify patterns, trends, and insights that drive business value.
  • Implement and optimize algorithms for data mining, statistical analysis, and machine learning.
  • Work closely with software engineers to integrate machine learning models into production systems.
  • Implement data governance policies and procedures to ensure compliance and security.
  • Evaluate and implement new technologies and tools to enhance data infrastructure and capabilities.
  • Analyse and resolve issues related to data processing and performance.
  • Document data pipelines, workflows, and technical specifications.
  • Ensure the reliability, scalability, and performance of data infrastructure and analytical solutions.
  • Stay ahead of with advancements in data science, machine learning, and big data technologies.

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Requirements:

  • Bachelor's degree in computer science, Engineering, or related field.
  • Shown experience of 8 + in data engineering, data science, or a related role.
  • Strong programming skills in Python, Java, or another programming language commonly used in data science and engineering.
  • Experience with technologies such as Hadoop, Spark, Kafka, or equivalent.
  • Strong understanding of database systems and SQL, with experience working with relational and NoSQL databases.
  • Solid understanding of machine learning algorithms and techniques
  • Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud.
  • Display a keen eye for detail, strategically applying it where necessary to ensure precision and accuracy in all endeavors.
  • Adopt a critical thinking approach, unafraid to pose questions and explore uncertain answers, driving continuous improvement and innovation.
  • Demonstrate proactive problem-solving abilities, capable of independently identifying and resolving challenges. Exhibit curiosity, and share solutions and insights collaboratively to benefit the team.
  • Ability to work effectively in a fast-paced and collaborative environment.
  • Strong communication skills and the ability to present complex technical concepts to non-technical partners.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: ThermoFisher-R-01242466-6
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
    • Mental Health Benefits
    • Fitness Subsidies
  • Parental Benefits

    • Adoption Leave
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
    • Remote Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • Financial Counseling
    • Performance Bonus
  • Professional Development

    • Tuition Reimbursement
    • Access to Online Courses
    • Internship Program
    • Mentor Program
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program