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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