Chief Analytics Officer

1 week ago

Gurgaon, Haryana, India beBeeDataScientist Full time ₹ 1,04,000 - ₹ 1,30,878
Job Title

Senior Data Scientist, Product Data

Job Description

As a Senior Data Scientist, you will play a key role in developing innovative analytical solutions and identifying opportunities to support business needs.

You will be responsible for delivering high-quality project solutions within agreed-upon timelines and budget parameters. This includes conducting post-implementation reviews and contributing to the development of custom analyses and solutions.

Activities include developing predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations.

Additionally, you will leverage open and closed-source technologies to solve business problems and work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities.

Furthermore, you will translate client/stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners.

Required Skills and Qualifications
  • 6-8 years of experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
  • Advanced SQL skills and ability to write optimized queries for large data sets.
  • Experience on platforms/environments: Cloudera Hadoop, Big Data Technology Stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies.
  • Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus.
  • Experience with data validation, quality control, and cleansing processes to new and existing data sources.
  • Classical and Deep Machine Learning Algorithms experience, including Logistic Regression, Decision trees, Clustering, TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc.
Benefits
  • Excellent English, quantitative, technical, and communication (oral/written) skills.
  • Ownership of end-to-end Project Delivery/Risk Mitigation.
  • Virtual team management and manage stakeholders by influence.
  • Analytical/Problem Solving.
  • Able to prioritize and perform multiple tasks simultaneously.
  • Able to work across varying time zones.
  • Strong attention to detail and quality.
  • Creativity/Innovation.
  • Self-motivated, operates with a sense of urgency.
  • In-depth technical knowledge, drive, and ability to learn new technologies.

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