Sr Associate-Data Science

About the Position

Job Summary

As a Sr Associate-Data Science you will play a pivotal role in leveraging data analytics to drive strategic decisions and enhance business outcomes. You will collaborate with cross-functional teams to design and implement data models that optimize processes and improve efficiency. Your expertise in analytics and analysis will be crucial in transforming data into actionable insights.

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Responsibilities

• Analyze complex datasets to identify trends and patterns that inform business strategies
• Collaborate with stakeholders to understand their data needs and provide tailored solutions
• Develop and implement data models that enhance operational efficiency and decision-making
• Utilize advanced analytics techniques to extract meaningful insights from large datasets
• Design and execute experiments to test hypotheses and validate data-driven strategies
• Provide insights and recommendations based on data analysis to support strategic planning
• Oversee the integration of data analytics into existing business processes
• Ensure data quality and integrity by implementing robust validation and cleansing procedures
• Monitor and evaluate the performance of data models to ensure they meet business objectives
• Communicate findings and insights to non-technical stakeholders in a clear and concise manner
• Stay updated with the latest trends and technologies in data science to continuously improve processes
• Collaborate with IT teams to ensure seamless data flow and integration across systems
• Drive innovation by exploring new data sources and analytical techniques

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Requirements

• Possess a strong background in analytics and data analysis with proven experience in designing data models
• Demonstrate proficiency in statistical analysis and data visualization tools
• Have experience in working with large datasets and applying advanced analytics techniques
• Exhibit excellent problem-solving skills and the ability to think critically
• Show strong communication skills to effectively convey complex data insights to stakeholders
• Be adept at collaborating with cross-functional teams to achieve common goals
• Display a commitment to continuous learning and staying abreast of industry developments

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Certifications Required

• Certified Analytics Professional (CAP) Data Science Certification from a recognized institution.

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We Offer

• Economic Well-being: Regular market data reviews to ensure your value is accurately reflected in your compensation. Benefits may include retirement and pension plans, and financial education.
• Physical and Mental Health: Support for your well-being through paid leave, flexible working arrangements, health insurance, counseling, and mental health alliance programs.
• Career Growth: Opportunities to develop the skills needed for career growth and build a career on your terms with over 35,000 job roles across new technologies, industries, and locations.
• Real-world Impact: Work with trusted global brands to shape bold ideas into solutions that improve lives around the world.

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About the Company

コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください.

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Employment Details

• Location: Chennai / India
• Job Type: Hybrid
• Application Process:
  1. Step 1: Apply for the optimal position that matches your skills and career goals.
  2. Step 2: Connect with our recruiters to discuss your suitability and how your experience aligns with the position.
  3. Step 3: Showcase your skills through interviews with our hiring team, which may include technical assessments or client interviews.
  4. Step 4: Final decision by our team to ensure the best match for both you and the company.

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Note: Cognizant is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by federal, state, or local laws.