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Full-time
On-site
LinkedIn
Posted 1 month ago
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Job Description
**Job Description**
We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate will possess a strong foundation in mathematics, statistics, and computer science, with proficiency in programming and data analysis. 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.
* 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.
**Technical Skills**
* Proficiency in programming languages such as Python and SQL.
* Experience with machine learning frameworks and libraries.
* 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
**Recognition \& Achievements**
* We have been recognized as a Star Performer in Data \& AI Services Specialists \- Everest’s North America PEAK Matrix 2025, and as a Leader in AIM’s Pema Quadrant of Agentic AI Service Providers \- 2025\.
* In Nov 2023, Straive acquired Gramener, an award\-winning, design\-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI\-powered insights and contextual analytics services.