dentsu hires exciting Data Science job in Bengaluru 2024.

dentsu is hiring for a Data Science job in Bengaluru 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at dentsu for the position of Data Science job in Bengaluru. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Science Jobs in Hyderabad or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

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About Company

Dentsu is a global leader in media and communications services, founded in 1901 in Tokyo, Japan. It operates in around 120 countries, offering integrated growth and transformation solutions to some of the world’s leading organizations. Dentsu is known for its innovative approach, combining technology and creativity to drive impactful growth for its clients. The company provides end-to-end experience transformation across Media, CXM (Customer Experience Management), and Creative services. Dentsu’s global network includes approximately 160 companies in Japan and six leadership brands internationally, governed by a global management team overseeing operations in Japan, the Americas, EMEA, and APAC.

About Job Role

The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients.

Responsibilities

• Creating and developing marketing measurement solutions (e.g. media mix modelling, customer lifetime modelling, attribution and incrementality testing tools) using machine learning and probabilistic programming techniques.
• Developing code for our solutions using Python libraries such as PyMC, PyTensor, NumPy, SciPy and StatsModels.
• Maintaining Github repositories and cloud computing resources for effective and efficient version control, development, testing and production.
• Researching potential new methodologies using academic and non-academic materials.
• Productionising proof-of-concept solutions and assisting in rolling these out to our clients.
• Producing and updating documentation and training materials.
• Supporting team members in the UK and internationally with adopting and implementing solutions on client accounts, as well as receiving and actioning feedback and feature requests.
• Working with data engineering and UX teams to jointly develop end-to-end solutions.
• Working with business development and client account teams to help shape the commercial model and “go-to-market” proposition for the solutions we develop.

Requirements

• Coding using Python, including use of common packages such as Jupyter, NumPy, SciPy, Pandas, Matplotlib and Seaborn.
• Solid mathematical knowledge, across topics such as algebra, calculus, trigonometry, and graph theory.
• Machine learning theory and application, such as regression, classification, and cross-validation.
• Parametric statistics, probability theory and principles of Bayesian inference.
• Media mix modelling concepts, such as adstock and diminishing returns.
• Basic time series modelling techniques, such as ARIMA.
• Basic optimization concepts, such as Lagrangian multipliers, constrained vs. unconstrained optimization, local vs. global minima.

Good to have

• Probabilistic programming Python libraries such as PyMC or Tensorflow Probability.
• Collaborative version control software such as Github.
• Cloud computing software such as Google Cloud Platform or Databricks.
• Probabilistic/Bayesian modelling approaches, such as hierarchical regression, counterfactual inference, mixture modelling, factor analysis and Gaussian processes.
• Advanced time series modelling techniques, such as Fourier regression, vector autoregressive (VAR) models and stochastic differential equations (SDEs).
• Markov chain Monte Carlo (MCMC) methods and their application in probabilistic programming.
• Optimization methods, including single- vs. multi-objective, deterministic vs. stochastic, local vs. global and gradient-based vs. gradient-free optimization algorithms.

Why Join dentsu?

• Merkle, a leading customer experience management company, operates under the Dentsu umbrella, offering data-driven marketing solutions to global clients.
• With over 30 years of experience, Merkle is recognized for its innovative approach to creating personalized experiences, helping businesses connect with their customers in meaningful ways.
• The Merkle experience entails working with top brands and sophisticated data analytics and machine learning technologies to create innovative marketing approaches.
• The position at Merkle enables one to work on exciting projects like media mix modeling, customer lifetime value estimation, and probabilistic programming with, among others, Python, PyMC and ML. You will have an opportunity to work with other teams internationally to build an integrated marketing solution and enhance the business as a whole.
• Innovativeness and personal growth are clearly observable in Merkle’s organizational culture; hence, this is the perfect environment for all the individuals who seek to focus on the utilization of data and technology for business growth.
• Latest equipment, cloud applications and interdepartmental interactions help you enhance your abilities and make a difference.
• The organization’s very favorable working condition and its geographical coverage creates numerous prospects for career development and progression, which is ideal for persons who wish to distinguish themselves in marketing and analytics.

Career Growth and Opportunities

• Joining Merkle is a great opportunity for anyone looking to advance their career within the fast-changing sector of marketing focused on data.
• Since it belongs to Dentsu Group, Merkle welcomes its employees to a diverse clientele and thanks to that, Merkle Technologies even has international projects that employ advanced technology. These professionals are motivated to improve their technical and analytical skills, especially when it comes to advanced artificial intelligence and new technologies such as machine learning, probabilistic programming, or cloud computing.
• Merkle enjoys playing the role of a talent incubator by encouraging and creating a lot of learning and development opportunities, including internal ones, as well as those coming from other Dentsu divisions.
• To motivate employees never to be behind the developments, they are encouraged to research and look for fresh approaches, tools, and studies.
• Teamwork is encouraged at Merkle, which enables professionals to access teams dealing with data engineering, business development, UX design, among others, which enhances career growth.
• Also, the organization encourages people to explore different opportunities within the company and provides the chance to travel and work in other countries.
• Employees may take up management positions, heads of client portfolios, or work on advanced marketing effectiveness practices, among others.
• Be it technical, strategic, or client-driven careers, there is a myriad of personal and career development avenues at Merkle that enable employees to pursue deep rewarding and career-defining work in marketing and data analytics for decades.

Industry Impact of the Role

• There is no doubt that Merkle is among the top customer experience management and digital marketing companies in the world, which is why they have technologies and solutions that are particularly focused on helping businesses make data-backed decisions.
• In this position, you will have an opportunity to affect the industry by revolutionizing the ways marketing campaigns are monitored and improved with the help of complex analytical models.
• The solutions that you will develop and support in the area of marketing measurement with the use of modern machine learning and probabilistic programming techniques will serve to enhance media mix modeling, CLV, and attribution strategies.
• These will support businesses in relation to better marketing returns assisting in the appropriate marketing investment and improving customer interaction.
• Working with global teams and clients, you’ll be able to contribute to the developing of innovative solutions which change the way the companies think about marketing analytics as well as that redefines the marketing analytics best practices for every other business.
• Thanks to you, Merkle will maintain and improve its ability to provide results-oriented marketing for clients all over the globe.

Learning and Development Opportunities

• Merkle is a global leader in data-driven performance marketing and customer experience management, with expertise in helping brands transform their digital marketing strategies.
• They are driven by a mission focused on growing businesses within industries that tread on integrating customer data and creating experiences for customers.
• Being a part of Dentsu, Merkle has its presence in various countries spread across continents including the branch DGS India, which is also located in Bengaluru.
• At Merkle, the learners partaking in the programs with a view to developing or improving their skills will find some of the best employment technical talent and career development programs accessible to them.
• The company promotes a culture of continuous improvement, offering opportunities to work with advanced technologies such as machine learning, probabilistic programming, and data-driven marketing tools.
• Employees can learn by doing, through project work, travel to countries where globalization is taking place, and using more advanced equipment like Google Cloud Platform, Databricks, and so on. Furthermore, Merkle has a great focus on career development offering coaching, working in different teams, and sharing feedback on a regular basis which allows effective performance in the digital world that changes rapidly.
• With such approach to careers, it is not surprising that development and innovation are actively encouraged in the company.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills, including Jupyter, NumPy, SciPy, Pandas, Matplotlib and Seaborn is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

Rishikesh Deshmukh

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