Job Description

AboutStraive:

Straiveis a trusted leader in building and operationalizing enterprise data and AIsolutions for top global brands and corporations. Our key differentiatorsinclude extensive domain expertise across multiple industry verticals, coupled withcutting-edge data analytics and AI capabilities that have consistently drivenmeasurable ROI for our clients. With a global footprint spanning 30+ countries,Straive serves hundreds of clients, supported by a team of 18,000+ seasonedprofessionals in data, analytics, AI, and operations. Our offices arestrategically located across India, the Philippines, the USA, Nicaragua,Vietnam, the UK, Canada, and Singapore, where our headquarters are based.

Straive is a market leading Content and Data Technologycompany providing data services, subject matter expertise, & technologysolutions to multiple domains. Data Analytics & Al Solutions, Data AlPowered 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 Solutionsbusiness has become critical to our client's success. We use technology and Alwith human experts-in loop to create data assets that our clients use to powertheir data products and their end customers' workflows. As our clients expectus to become their future-fit Analytics and Al partner, they look to us forhelp in building data analytics and Al enterprise capabilities for them.

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

Aboutthe Data Scientist Job Role

Youwill help our clients solve real-world problems by tracing the data-to-insightslifecycle:

Understandbusiness problems, making sense of the data landscape & footprint,performing a combination of exploratory, Machine Learning & AdvancedAnalytics

Create,experiment with, and deliver innovative solutions in a consultative mindset toclient stakeholders using textual data

Qualificationfor Data Scientist

·        Total5+ years of experience using analytical tools/languages like Python onlarge-scale data

·        Experiencein designing and developing machine learning systems or AI products,implementing appropriate ML algorithms, and conducting experiments.

·        Deepknowledge of techniques such as Linear Regression, gradient descent, LogisticRegression, Forecasting, Cluster analysis, Decision trees, Linear Optimization,Text Mining

·        Experienceworking with pre-trained models, awareness of state-of-art in embeddings andapplicability for use cases

·        Experienceusing Azure services for ML & GenAI projects is a plus

·        Demonstratedability to engage with client stakeholders

·        Codingskills in one or more programming languages such as Python, SQL

·        Hands-onexperience with popular ML frameworks such as TensorFlow

·        Expert/ high level of understanding of language semantic concepts & datastandardization