Job Description

AboutStraive:

Straive is a market leadingContent and Data Technology company providing data services, subject matterexpertise, & technology solutions to multiple domains.

Data Analytics & AlSolutions, Data Al Powered Operations and Education & Learning formthecorepillarsofthe company’s long-termvision. The company is a specialized solutions provider to business informationproviders in finance, insurance, legal, realestate, life sciences and logistics. Straive continues to be the leadingcontent services provider toresearchandeducationpublishers.

Data Analytics & Al Services: Our Data Solutions business hasbecome critical to our client's success. We use technology and Al with humanexperts-in loop to create data assets that our clients use to power their dataproducts and their end customers' workflows. As our clients expect us to becometheir future-fit Analytics and Al partner, they look to us for help in buildingdata analytics and Al enterprise capabilities for them.

With a client-base scoping 30countries worldwide, Straive’s multi-geographical resource pool isstrategically located in eight countries -India, Philippines, USA, Nicaragua, Vietnam, United Kingdom,andthecompany headquarters inSingapore.

Website:https://www.straive.com/Linkedin

About the Data Scientist Job Role

You will help our clients solve real-world problems bytracing the data-to-insights lifecycle:

• Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics
• Create, experiment with, and deliver innovative solutions in a consultative mindset to client stakeholders using textual data

Qualification for Data Scientist

• Total 3 to 5 years of experience using analytical tools/languages like Python on large-scale data
• Experience in designing and developing machine learning systems or AI products, implementing appropriate ML algorithms, and conducting experiments.
• Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining
• Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases
• Experience using Azure services for ML & GenAI projects is a plus
• Demonstrated ability to engage with client stakeholders
• Coding skills in one or more programming languages such as Python, SQL
• Hands-on experience with popular ML frameworks such as TensorFlow
• Expert / high level of understanding of language semantic concepts & data standardization