Mondelez - Manager - Data Scientist - Sales Analytics (8-12 yrs)

Job Description

We are seeking a highly skilled and motivated data scientist to join our India Data & Analytics team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for shaping up and deploying data science and advanced analytics solutions that drives business values for stakeholders.

The role calls for a data scientist with a consulting background, with relevant experience in engaging with business teams to formulate and deliver on business problems. It will involve mapping business problems to a formal data science and/or advanced analytics solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the product with the support from DevOps and MLOps team and facilitating business

workshops. Expectations of the successful candidate will be that of a data scientist with experience in consulting business teams. Beyond the technical skillset, independent communication and problem-solving in complex set-up will be key to the success for this role.

Responsibilities:

- Collaborate with cross-functional teams including business stakeholders, data and platform engineers, and product managers to understand key business problems and translate them into data science and/or advanced analytics opportunities.

- Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform.

- Deliver Test & Learn (T&L) of new capabilities based in business needs with clear path to production. Collaborate with product teams to bring to industrialization upon T&L completion.

- Support any Big Data and Data Science related insights and business recommendations either through development of new capabilities or adhoc data & insight exploration.

- Stay up to date with the latest AI / ML trends, technologies and industry-wide applications & use-cases.

Education / Certifications: Bachelor's or Master's in Computer Science, Engineering, Computational Statistics, Mathematics.

Job Specific Requirements:

- Brings 5+ years of deep data science experience and 2+ years in consulting.

- Relevant experience in Sales and/or Revenue Growth Management data science and advanced analytics capabilities.

- Experience in delivery end to end data science life cycle activities.

- Strong knowledge of hypothesis building, exploratory data analysis and insights delivery.

- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds based environment such as GCP, Azure, Amazon.

- Experience with programming languages such as Python, R, Spark.

- Experience with data visualization tools such as Tableau, Power BI, and D3.js.

- Strong understanding of data structures, algorithms, and software design principles.

- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage.

- Working knowledge with application architecture, data security and compliance team.

Mondelez International Internal

- Experience with project management activities and following through on project charters.

- Experience in business consultancy / partnering to support delivery of projects.

- Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs.

- Strong analytical and problem-solving skills.

- Excellent verbal and written communication skills, and able to communicate with business stakeholders independently.

Others skills to be successful in the role:

- Leadership with high level of self-initiative and drive, for example leading the discussions on D&A agenda in the region and building a combined vision across multiple stakeholders.

- Communication, for example conveying information to diverse audiences in a way that is easily understood and actionable.

- Facilitation and conflict resolution, for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.

- Creative thinking and being comfortable with unknown or unchartered territories, for example framing new concepts for business teams and brainstorming with business users about future product and services.

- Teamwork & Collaboration, for example working with both business domain teams as well as D&A teams and stakeholders.

- Storytelling & influencing, for example by creating a consistent, clear storyline for better understanding and/or to assert ideas and persuading others to gain support across an organization or to adopt new behaviors.