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



Position:

  • Data Scientist

Company:

  • Merkle (A part of Dentsu)

Location:

  • DGS India - Mumbai - Thane Ashar IT Park

Job Type:

  • Full-time

Job Mode:

  • Permanent

Job Requisition ID:

  • R1084169

Years of Experience:

  • Not specified; fresher entry level as per JD; 0-3 years

Company Description:

  • Merkle, a leading customer experience management (CXM) company under the Dentsu umbrella, has a strong legacy of over 120 years in innovation.

  • The company specializes in data-driven, technology-enabled services aimed at enhancing customer engagement and business growth.

  • With a focus on digital transformation, Merkle provides integrated growth solutions that drive measurable results for clients.

  • Sustainability is a core value at Merkle, with a strong emphasis on creating environmentally responsible business practices.

  • Diversity, equity, and inclusion (DEI) are central to Merkle's culture, fostering an inclusive work environment for employees from diverse backgrounds.

  • The organization believes in nurturing talent through continuous learning and collaboration, encouraging employees to push boundaries and embrace new challenges.

  • As part of the Dentsu network, Merkle operates on a global scale, helping brands navigate the ever-evolving marketing landscape with data-driven insights.

  • The company is committed to innovation, impact-driven strategies, and creating meaningful relationships between brands and their customers.

  • Employees at Merkle are encouraged to think creatively, challenge norms, and contribute towards shaping the future of digital transformation.

  • With a strong culture of teamwork, collaboration, and excellence, Merkle continues to be a pioneer in delivering top-tier CXM solutions.

Profile Overview:

  • The role of a Data Scientist at Merkle is designed to support clients in achieving their business goals through data-driven insights and analytical solutions.

  • The position requires expertise in developing, implementing, and optimizing data science models tailored to marketing and business challenges.

  • The Data Scientist will be responsible for analyzing large datasets to derive actionable insights that can drive customer engagement and business performance.

  • A key aspect of this role is leading sales discussions by presenting data science strategies and demonstrating their impact on business growth.

  • This role involves setting training and development objectives for the team to enhance their capabilities in data science methodologies.

  • The selected candidate will build and maintain strong client relationships, ensuring that data-driven solutions align with business objectives.

  • Effective communication skills are crucial as the role requires presenting insights and recommendations in a clear and impactful manner.

  • The position also involves working collaboratively with cross-functional teams, integrating data science into various business processes and marketing strategies.

  • The ideal candidate should have a passion for leveraging advanced analytics and machine learning techniques to solve complex business problems.

  • As a Data Scientist at Merkle, the individual will play a critical role in driving innovation, efficiency, and growth for both clients and the organization.

Key Responsibilities:

Data Science and Analytical Solutions:

  • Develops and implements data science models to address marketing and business challenges.

  • Analyzes large datasets to extract meaningful insights and develop predictive models.

  • Applies machine learning and statistical techniques to optimize marketing strategies and business decisions.

  • Collaborates with stakeholders to define business problems and identify relevant data science solutions.

  • Ensures the accuracy and reliability of data models through rigorous validation and testing.

  • Continuously explores emerging trends and advancements in data science to enhance analytical capabilities.

Client Engagement and Business Growth:

  • Leads discussions with potential clients, presenting data-driven solutions that add value to their business.

  • Demonstrates how data science can drive business growth and improve marketing effectiveness.

  • Builds and nurtures long-term client relationships, ensuring alignment with their objectives.

  • Identifies opportunities to expand data science services and offerings to new and existing clients.

  • Works closely with sales and marketing teams to develop compelling data-driven case studies.

  • Provides consultation on best practices for leveraging data science in decision-making processes.

Team Development and Knowledge Sharing:

  • Sets training and development goals for the data science team, ensuring continuous learning.

  • Conducts workshops and knowledge-sharing sessions to enhance team expertise in advanced analytics.

  • Mentors junior team members, guiding them in applying data science techniques effectively.

  • Encourages innovation within the team by fostering a culture of curiosity and exploration.

  • Collaborates with industry experts and academic institutions to stay ahead of data science advancements.

Communication and Insights Presentation:

  • Translates complex analytical findings into clear, actionable insights for clients and stakeholders.

  • Prepares reports, visualizations, and presentations to effectively communicate data-driven recommendations.

  • Engages with executive leadership to align data science strategies with business objectives.

  • Ensures transparency in data methodologies, promoting trust and confidence among stakeholders.

  • Utilizes storytelling techniques to make data insights more engaging and impactful.

Collaboration with Cross-Functional Teams:

  • Works closely with marketing, product, and technology teams to integrate data-driven strategies.

  • Contributes to the development of automated data solutions that improve operational efficiency.

  • Supports data engineering teams in optimizing data pipelines and infrastructure for analytics.

  • Coordinates with legal and compliance teams to ensure data privacy and security measures are met.

  • Participates in cross-functional projects that require expertise in predictive analytics and machine learning.

Qualifications:

Technical Skills:

  • Strong proficiency in programming languages such as Python, R, or SQL for data analysis.

  • Experience with machine learning frameworks like TensorFlow, Scikit-Learn, or PyTorch.

  • Knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.

  • Hands-on experience with big data technologies, including Hadoop, Spark, or Google BigQuery.

  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying data solutions.

  • Understanding of statistical techniques, predictive modeling, and A/B testing methodologies.

  • Ability to work with unstructured data, text analytics, and natural language processing (NLP).

  • Strong grasp of database management systems and data warehousing solutions.

Soft Skills:

  • Excellent problem-solving abilities with a strategic and analytical mindset.

  • Strong communication skills for presenting insights to technical and non-technical audiences.

  • Ability to collaborate effectively within a team and across departments.

  • Detail-oriented approach to ensure the accuracy and reliability of data solutions.

  • Leadership qualities for mentoring team members and driving innovation.

  • Adaptability to work in a fast-paced, dynamic environment with evolving business needs.

  • High level of curiosity and eagerness to explore new trends in data science.

Additional Information:

  • Merkle offers a vibrant and collaborative work culture that encourages innovation and professional growth.

  • Employees have access to extensive learning resources, training programs, and mentorship opportunities.

  • The company actively supports diversity, equity, and inclusion, fostering an environment where everyone is valued.

  • Work-life balance is a priority, with flexible work arrangements available to employees.

  • The organization invests in sustainability initiatives, encouraging employees to contribute to environmental and social causes.

  • Career development opportunities are abundant, with the potential for global exposure and leadership roles.

  • Merkle values employee well-being and offers competitive compensation packages with comprehensive benefits.

  • The role provides opportunities to work on high-impact projects that shape the future of digital marketing and customer engagement.

  • Employees are encouraged to take part in hackathons, innovation challenges, and industry events.

  • As part of the Dentsu network, Merkle provides access to a vast global ecosystem of experts and industry leaders.

Please click here to apply.

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