dentsu is hiring for a fresher entry level Data Scientist role in India

Position:

• Modelling & Data Science Executive
• Responsible for delivering data analysis aligned with client business goals.
• Expected to develop and exceed client performance targets.

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Company:

• Dentsu
• A global leader in providing integrated growth solutions for businesses.
• Committed to driving innovation and creating positive social impact.

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Location:

• New Delhi, India
• Candidates may also work from other locations, including:
  • Chennai
  • Mumbai
  • Bengaluru
  • Hyderabad

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Job Type:

• Full-Time
• Permanent position with long-term growth potential.

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Job Mode:

• On-Site

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Job Requisition ID:

• R1086777

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Years of Experience:

• 0-3 years

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Company Description:

• Dentsu has been a pioneer in the marketing and advertising industry for over 120 years, offering innovative solutions that enhance client business outcomes. The company focuses on delivering Integrated Growth Solutions that maximize business impact by combining creativity, data, and technology.
• Dentsu’s mission is to create sustainable business growth while being a force for good by contributing positively to the environment. Their sustainability efforts aim to build a greener, more sustainable planet. Through constant innovation and a commitment to excellence, they redefine how brands engage with their audiences.
• Dentsu fosters a culture of inclusivity and collaboration, where professionals are encouraged to dream big and embrace change with confidence. Their goal is to build a connected, collaborative workforce that thrives on innovation and challenges conventional norms.
• By working with Merkle, a part of Dentsu, employees can expect to grow in an environment that values professional development and encourages continuous learning. Merkle specializes in data-driven marketing solutions, which ensures that employees stay ahead in the rapidly evolving world of data science and analytics.

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Profile Overview:

• The Modelling & Data Science Executive role requires expertise in developing and delivering data-driven solutions to address complex marketing challenges.
• The primary responsibility is to analyze data and provide actionable insights that align with client business objectives and exceed performance targets.
• The role involves building strong client relationships, leading sales discussions to demonstrate the value of data science, and training internal teams to improve overall performance.
• Responsibilities include:
  • Designing and developing data science models to address business problems.
  • Presenting data-driven insights to clients to demonstrate business value.
  • Establishing development and training objectives for team members.
  • Building long-term client relationships that drive sustainable growth.
  • Communicating analytical findings effectively to stakeholders.
• The ideal candidate is expected to possess strong analytical skills, communication abilities, and a passion for leveraging data to create business impact.

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Qualifications:

• Educational Background:
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Certifications in Data Science, Machine Learning, or related areas are a plus.
• Technical Skills:
  • Proficiency in Python, R, and SQL for data manipulation and analysis.
  • Hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, or PyTorch.
  • Expertise in data visualization tools like Tableau, Power BI, or similar platforms.
  • Strong knowledge of statistical techniques and data modeling.
• Analytical and Problem-Solving Skills:
  • Ability to analyze complex data and translate findings into actionable insights.
  • Experience in developing models to solve real-world business problems.
  • Critical thinking skills to evaluate and improve existing data models.
• Communication and Leadership Abilities:
  • Strong presentation and communication skills to articulate findings to clients.
  • Ability to lead sales meetings and demonstrate the value proposition of data science solutions.
  • Experience in mentoring and developing team members to enhance overall team performance.
• Other Preferred Skills:
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of marketing analytics and customer segmentation.
  • Ability to work in a fast-paced, dynamic environment with tight deadlines.

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Additional Info:

• Client-Centric Approach:
  • The Modelling & Data Science Executive is expected to develop solutions that align with client goals and drive measurable business outcomes.
  • Building long-term relationships with clients by delivering consistent value is a key aspect of this role.
• Opportunities for Professional Growth:
  • Dentsu offers numerous opportunities for career advancement, with access to industry-leading training and resources.
  • Employees are encouraged to upskill and pursue certifications in relevant technologies to stay competitive in the evolving field of data science.
• Collaborative Work Environment:
  • Dentsu promotes a culture of collaboration and innovation, where team members work together to solve complex problems.
  • Employees are empowered to take ownership of their work and contribute meaningfully to the organization’s success.
• Sustainability and Social Responsibility:
  • As a company committed to sustainability, Dentsu encourages employees to participate in initiatives that positively impact the environment.
  • Employees can engage in corporate social responsibility (CSR) programs that promote sustainability and community development.
• Diversity and Inclusion:
  • Dentsu believes in creating an inclusive workplace where everyone feels valued and respected.
  • The company is committed to fostering diversity and promoting equal opportunities for all employees.

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Key Responsibilities:

• Developing Data Science Solutions:
  • Design and implement data models that solve complex marketing problems for clients.
  • Leverage machine learning algorithms to identify patterns and trends in client data.
  • Continuously refine models to ensure accuracy and effectiveness.
• Client Relationship Management:
  • Build and maintain strong relationships with clients by demonstrating the business value of data science solutions.
  • Understand client requirements and tailor solutions to meet their unique needs.
  • Collaborate with clients to identify opportunities for continuous improvement.
• Sales and Business Development:
  • Lead sales meetings to present the value proposition of data science to potential clients.
  • Showcase case studies and examples of how data science drives business growth.
  • Work closely with sales teams to identify and pursue new business opportunities.
• Team Development and Training:
  • Set clear development and training objectives for team members.
  • Mentor and guide junior data scientists to enhance their technical and analytical skills.
  • Foster a culture of continuous learning and improvement within the team.
• Communicating Analytical Insights:
  • Translate complex data findings into actionable business insights.
  • Present insights to clients in a clear and concise manner.
  • Collaborate with cross-functional teams to ensure that insights are effectively implemented.

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Expected Outcomes:

• Enhanced Client Performance:
  • Deliver solutions that help clients achieve and exceed their performance targets.
  • Continuously refine data models to ensure ongoing business success.
• Increased Client Satisfaction:
  • Build strong relationships with clients by delivering measurable results.
  • Ensure that client expectations are consistently met or exceeded.
• Business Growth and Expansion:
  • Contribute to business growth by identifying new opportunities and driving sales.
  • Position Dentsu as a trusted partner in data-driven marketing solutions.

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Preferred Attributes:

• Proactive Problem Solver:
  • Takes initiative to identify and address potential challenges before they escalate.
  • Continuously seeks opportunities to improve processes and outcomes.
• Strategic Thinker:
  • Understands the bigger picture and aligns data science solutions with business goals.
  • Anticipates client needs and develops innovative solutions to address them.
• Collaborative Team Player:
  • Works effectively with cross-functional teams to deliver high-quality solutions.
  • Shares knowledge and expertise to support team growth and development.

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Why Join Dentsu?

• Innovative Work Environment:
  • Be part of a team that pushes the boundaries of data science and innovation.
  • Collaborate with experts across disciplines to solve real-world business problems.
• Professional Development:
  • Access to industry-leading training programs and certifications.
  • Opportunities for career growth and advancement.
• Commitment to Sustainability:
  • Join a company that is dedicated to making a positive impact on the planet.
  • Participate in initiatives that promote environmental sustainability and social responsibility.

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How to Apply:

• Application Process:
  • Interested candidates can apply directly through the Dentsu careers portal.
  • Applicants are encouraged to submit a resume highlighting relevant experience and achievements.
• Next Steps:
  • Shortlisted candidates will be contacted for an initial screening interview.
  • Successful candidates will be invited for technical and behavioral assessments.

Please click here to apply.

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