Vice President - Analytics & Data Science - AdTech Services

Position Title: Director/AVP/VP - Analytics and Data Science (Title / Level shall depend on experience)

Department: Product & Engineering

Job Scope: Global

Location: Noida, India

Reporting to: CEO

Work Setting: Work from Office

About the Organization:

Its IT Product organization providing AdTech services in Healthcare domain.

Purpose of the Job:

The Vice President - Data Engineering is a strategic leadership role responsible for driving the integration of data science and engineering to deliver innovative solutions and insights. Reporting directly to the CEO, will oversees a team of data scientists, engineers, analysts, and data architects to create a seamless ecosystem for data-driven decision-making. This role requires a strong blend of technical expertise, leadership skills, and business acumen.

Key Responsibilities:

- Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics.

- Work with senior leaders from all functions to explore opportunities for using advance analytics.

- Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals.

- Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies.

- Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality.

- Identify new areas of organizational growth with ML & applied sciences.

Qualifications Requirement:

Experience, Skills & Education:

- 15+ years of relevant experience in Data Engineering.

- Product development experience in Data Science

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Proficiency in programming languages like Python, Java, or Scala.

- Experience in big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS, Azure, GCP).

- Experience with data modelling, ETL processes, and data integration techniques.

- Strong understanding of database systems (e.g., SQL, NoSQL) and data warehousing developments.

- Problem-solving skills and the ability to optimize data processes for performance and efficiency.

- Excellent communication and teamwork abilities to collaborate effectively with cross-functional teams.

- Hands-on experience with SQL and any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight, etc).

- Conceptual understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing, etc).

- Ability to identify relevant data to solve business problems and (in)validate hypotheses.

- Prior data modelling experience in R/Python and some classification and/or regression techniques.