Data Scientist

Job Title: Data Scientist

Experience Level: 2–5 Years

Location: Bangalore, Gurugram, Hyderabad

Employment Type: Full-Time

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.

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

Job Description:

We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate with expertise in machine learning algorithms, data modeling, and cloud deployment on AWS . This role involves extracting actionable insights from complex datasets to inform strategic business decisions.

Key Responsibilities:

● Data Collection & Preparation: Identify, acquire, and preprocess structured and unstructured data from various sources to ensure data quality and integrity.

● Data Analysis & Modeling: Employ statistical methods and machine learning algorithms to analyze large datasets, uncover trends, and develop predictive models that address business challenges.

● AWS Cloud Deployment: Implement ML pipelines using AWS services (SageMaker, Lambda, S3, EC2, Redshift).

● Data Visualization: Utilize data visualization tools to present complex findings in an accessible and actionable manner to stakeholders.

● Collaboration: Work closely with cross-functional teams, including engineering, product development, and business units, to align data-driven insights with organizational objectives.

● Continuous Learning: Stay abreast of the latest developments in data science, machine learning, and related technologies to ensure the application of cutting-edge techniques.

Key Tech Stack & Skills

Technical Skills :

● Proficiency in programming languages such as Python and SQL.

● Experience with machine learning frameworks and cloud-based deployments.

● Hands-on experience with model development (Random Forest, XGBoost).

● Domain expertise in Banking, Payments, or Fraud detection.

Required Education & Experience

● Education: Bachelor's degree in a field such as Engineering, Computer Science, or a related technical field.

● Experience: 3 to 5 years of relevant experience