Business Data Scientist at Google

Short Description:

The Business Data Scientist, Machine Learning role at Google in Bangalore, India, requires over 11 years of data and analytics experience, proficiency in Python and SQL, and expertise in people and stakeholder management. Preferred qualifications include a Master's degree in a quantitative discipline and knowledge of supervised and unsupervised learning or Big Data techniques. The position involves establishing a Finance Data Science, Machine Learning hub in India, collaborating cross-functionally to develop AI/ML solutions, and improving scalability and usability. The candidate should possess strong communication skills, effective problem-solving abilities, and a commitment to equal opportunity. English proficiency is mandatory for global collaboration, and Google does not accept agency CVs.

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Position: Business Data Scientist, Machine Learning 

Location: Bangalore, Karnataka, India

Minimum Requirements:

• Over a decade of expertise in data and analytics.
• Proficiency in Python and SQL.
• Background in people management, stakeholder management, and technical program management.

Preferred Qualifications:

• Master's degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Engineering).
• Familiarity with both supervised and unsupervised learning (e.g., time series forecasting, clustering, classification) or Big Data techniques (e.g., Spark, Pig, Hive).
• Capability to navigate ambiguity, prioritize needs, and deliver results in a dynamic environment.
• Strong communication skills to convey technical solutions and methodologies to executive leadership.
• Effective problem-solving and process improvement abilities.

About the Role: 

As part of the Finance Business Intelligence team at Google, your role will revolve around leveraging data to guide business and product decisions across the organization. Using your technical proficiency, business insight, and creativity, you will construct tools for automating reporting and generating insights, enabling clients to swiftly and accurately assess the performance of key business products and processes. Past experience in managing finance systems projects, especially emphasizing business intelligence and data-driven insights through reporting, will prepare you well for this role. From project inception to delivery, you will ensure that your reporting provides high-quality and pertinent data to intelligently foster business growth. Additionally, you should possess extensive knowledge of key financial systems, including Oracle and Hyperion, and have experience with various business intelligence tools and platforms.

In this position, you will be actively engaged in cutting-edge data, machine learning, and artificial intelligence solutions.

Responsibilities:

• Establish a Finance Data Science, Machine Learning hub in India by defining the outlook, strategy, objective key results, and clear responsibilities.
• Collaborate cross-functionally with analysts, engineers, and program managers to develop and implement AI/ML solutions.
• Enhance machine learning scalability, usability, and performance through modeling techniques.
• Develop and expand reusable analytic libraries for finance and business use cases, communicating results to peers and leaders.
• Advocate for processes, standards, and engineering practices, while coaching junior members and sharing knowledge with the broader team.

Please note that information collected and processed as part of your application is subject to Google's applicant and candidate privacy policy.

As a global company, English proficiency is a requirement for all roles at Google to facilitate efficient collaboration and communication unless stated otherwise in the job posting.

Please click here to apply.