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Data Scientist at Cognizant


Short Description:

Cognizant is seeking a skilled Data Scientist to join its team in Hyderabad, India. The ideal candidate should possess expertise in data science, Python programming, and have a strong background in statistical analysis and machine learning. Responsibilities include leveraging advanced data science techniques, integrating Adobe Analytics for enhanced analytics capabilities, and collaborating with cross-functional teams. The candidate should have a Bachelor's or Master's degree, and excellent communication and problem-solving skills. Cognizant, a Fortune 500 company, encourages diverse candidates to apply for this exciting opportunity.

Job Title: Data Scientist

Location: Hyderabad, Telangana, India
Job ID: 00055983352
Employee Status: Full Time Employee
Shift: Day Job
Travel: No

Key Qualifications:

Must Have Skills:

  • Data Science:

    • Proficient in leveraging data science methodologies and tools to derive actionable insights.
    • Strong background in statistical analysis, predictive modeling, and machine learning algorithms.
    • Experience in handling and processing large datasets.

  • Python:

    • Advanced proficiency in Python programming language for data analysis and manipulation.
    • Familiarity with popular Python libraries such as NumPy, Pandas, and scikit-learn.
    • Ability to write efficient and scalable code for data-related tasks.

Good To Have Skills:

  • Adobe Analytics:
    • Familiarity with Adobe Analytics tools and platforms.
    • Experience in utilizing Adobe Analytics for web and digital analytics.
    • Ability to integrate Adobe Analytics data into broader data science workflows.

Job Overview:

Cognizant, a leading professional services company, is seeking a talented and motivated Data Scientist to join our team in Hyderabad, Telangana, India. As a Data Scientist at Cognizant, you will play a key role in transforming clients' business, operating, and technology models for the digital era. Utilizing your expertise in data science and Python programming, you will contribute to the development and implementation of innovative and efficient solutions.

Responsibilities:

  • Data Analysis and Modeling:

    • Apply advanced data science techniques to analyze large datasets and extract valuable insights.
    • Develop and implement predictive models and machine learning algorithms to solve complex business problems.
    • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

  • Python Programming:

    • Utilize Python programming language to manipulate, clean, and analyze data effectively.
    • Implement data processing pipelines and workflows using Python libraries like NumPy, Pandas, and scikit-learn.
    • Write efficient and scalable code for data-related tasks, ensuring optimal performance.

  • Adobe Analytics Integration:

    • Leverage knowledge of Adobe Analytics to enhance web and digital analytics capabilities.
    • Integrate Adobe Analytics data into broader data science workflows for comprehensive analysis.
    • Collaborate with stakeholders to understand business objectives and tailor analytics solutions using Adobe Analytics.

  • Collaboration and Communication:

    • Work closely with cross-functional teams, including business analysts, software engineers, and other stakeholders.
    • Communicate complex technical concepts and findings to non-technical audiences effectively.
    • Collaborate with team members to ensure seamless integration of data science solutions into business processes.

  • Continuous Learning:

    • Stay abreast of the latest developments in data science, machine learning, and Python programming.
    • Actively participate in training sessions and knowledge-sharing activities within the organization.
    • Apply new and emerging technologies to enhance the efficiency and effectiveness of data science solutions.

Qualifications:

  • Education:

    • Bachelor's or Master's degree in a relevant field such as Computer Science, Statistics, or Data Science.

  • Technical Skills:

    • Solid understanding of data science methodologies, statistical analysis, and machine learning algorithms.
    • Proficiency in Python programming language and experience with relevant libraries.
    • Familiarity with Adobe Analytics tools and platforms is a plus.

  • Soft Skills:

    • Strong problem-solving and critical-thinking skills.
    • Excellent communication and collaboration abilities.
    • Ability to work independently and as part of a team.

Company Overview:

Cognizant, listed on the Nasdaq-100 and ranked 185 on the Fortune 500, is a global leader in professional services. Headquartered in the U.S., Cognizant employs a unique industry-based, consultative approach to help clients envision, build, and run more innovative and efficient businesses. The company is consistently recognized among the most admired companies globally.

How to Apply:

If you are a passionate and experienced Data Scientist looking to contribute to transformative projects, we invite you to apply for this exciting opportunity. Please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience, technical skills, and why you are interested in joining the Cognizant team.

Cognizant is an equal opportunity employer committed to diversity and inclusion. We encourage candidates of all backgrounds to apply.

Please click here to apply.

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