Senior Consultant

About Straive :

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services : Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future - fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Responsibilities :

Data scientists to deliver complex models and address business problems

Apply expertise in Machine Learning, NLP, Reinforcement Learning, and Deep Learning to enhance search, browse, autocomplete, and recommendations experiences.

Build, deploy, and maintain predictive models for search relevance, query understanding, ranking, personalization, product sale forecasting, and product recommendation systems.

Manage multiple projects independently with high autonomy and accountability.

Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.

Communicate analytical solutions to non-technical stakeholders and senior leadership.

Key Requirements :

3+ years in Machine Learning, and Statistical Modeling in e-commerce or related environments.

Expertise in traditional and modern machine learning techniques (Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning)

Effective communication and presentation of complex quantitative analyses.

Prior experience working in the eCommerce sector is a plus

Bachelor’s or master’s degree in data science, Computer Science, Statistics or a related field from a reputable institution