The Job logo

What

Where

Staff Data Scientist, Product Support Platform

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
Staff Data Scientist role at Google's Product Support Platform in Hyderabad, Telangana, India. Develop and manage metrics, analyze data, provide business recommendations, and work with cross-functional teams. Must have extensive experience in statistical data analysis, programming in SQL, Python, or R, managing analytical projects, and leadership. Excellent communication and presentation skills required.

Job description 

Minimum qualifications:

  • Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Economics, Physics, or equivalent practical experience.
     
  • 10 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R.
     
  • 5 years of experience developing and managing metrics or evaluating programs/products.
  • 3 years of experience as a people manager within a technical leadership role.
     


Preferred qualifications:

  • Experience solving unstructured business problems with data science, translating results into business recommendations, and measuring the success of those initiatives.
     
  • Experience working with Engineers, Product Managers, and UX teams around providing product-centric insights.
     
  • Experience developing new models, methods, analysis techniques, and model evaluation.
     
  • Excellent communication and presentation skills, with the ability to deliver findings of analysis.
Set alert for similar jobsStaff Data Scientist, Product Support Platform role in Hyderabad, India
Google Logo

Company

Google

Job Posted

8 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

8-12 Years

Category

Software Engineering

Locations

Hyderabad, Telangana, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

Related Jobs

PepsiCo Logo

Architect,Data Scientist

PepsiCo

Hyderabad, Telangana, India

Posted: a year ago

Overview This role will lead technical development within Artificial Intelligence/Machine Learning for PBNA Advanced Analytics. This will include design, implement, and maintain digital solutions for PBNA sector. The role is responsible for:   Set up and manage our AI development and facilitate production infrastructure. Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products. Build data ingest and data transformation infrastructure. Identify transfer learning opportunities and new training datasets. Build AI models from scratch and help product managers and stakeholders understand results. Deploy AI models into production. Create APIs and help business customers put results of your AI models into operations. Keep current of latest AI research relevant to PBNA business domain. Responsibilities Technical subject matter expert for Advanced Analytics and digital solution (AI, ML, Advanced Analytics, NLP)Develop proof-of-concept demos in a SAFe Agile teamIdentify transfer learning opportunities and new training datasets.Build and deploy AI models for PBNAAssess new capabilities within AI/ML, shape business demand to leverage digital capabilities Qualifications Bachelor’s/Masters/ Phd degree in Computer Science, MIS, Business Management, or related field required15+ years proven experience in programming and development projects.  Hands-on experience with software development and system administration At least 10-12 years hands-on programming experience working on enterprise products. Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.  Experience building AI models in platforms such as Keras, TensorFlow, or Theano. Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects. Excellent driveAbility to work in ambiguous situations.  Problem-solving aptitude. Strong communication skills Understand sometimes ambiguous, needs, and translate to clear, aligned requirements Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies Positive attitude.  Participate in ideation and solutioning discussions, driving clarity of complex issues/requirements to build robust solutions

GE (General Electric) Logo

Staff Computer Vision Data Scientist

GE (General Electric)

Bengaluru, Karnataka, India

+1 more

Posted: a year ago

Job Description Summary The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Roles and Responsibilities As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: • Work with customers to capture data and analytics requirements • Develop, verify, and validate analytics to address customer needs and opportunities. • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. • Perform exploratory and targeted data analyses using descriptive statistics and other methods. • Work with data engineers on data quality assessment, data cleansing and data analytics • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. • Communicate methods, findings, and hypotheses with stakeholders. Education Qualification Bachelor's Degree in Computer Science or STEM” Majors (Science, Technology, Engineering and Math) with minimum 6 years of experience in Data Science or Engineering occupation. Alternatively, a Master’s degree, in Computer Science or STEM” Majors (Science, Technology, Engineering and Math) with minimum 3 years of experience in Data Science or Engineering occupation. Desired Characteristics Technical Expertise: • Demonstrated skill in data management methods • Demonstrated skill in feature extraction and realtime analytics development and deployment • Demonstrated skill in prescriptive analytics and analytic prototyping • Demonstrated skill in Multiview Geometry, Point Cloud Analysis, and 2D image segmentation Domain Knowledge: • Demonstrated skill in one or more industry sectors where GE operates • Demonstrated skill in defining and delivering customer value • Demonstrated skill in Computer Vision Leadership: • Demonstrated skill at working in a team setting • Demonstrated skill in critical thinking and problem solving methods • Demonstrated skill in presentation and influencing skills Personal Attributes: • Demonstrated awareness of how to succeed in ambiguous circumstances Additional Information Relocation Assistance Provided: Yes