Location
Bangalore | India
Job description
Senior Data Scientist at a Fintech Startup (Client of Recrud)
Overview:
Recrud, a leading recruitment firm, is excited to partner with an innovative Fintech Startup, seeking to transform the finance industry with cutting-edge technology and data-driven insights. Our client is on the hunt for a Senior Data Scientist who is passionate about leveraging big data to drive financial innovation, improve customer experiences, and enhance operational efficiency. This role is an incredible opportunity for a seasoned professional to make a significant impact in a dynamic and fast-paced environment.
Responsibilities:
- Lead complex data analysis projects that drive strategic decision-making across the organization.
- Develop and implement predictive models and machine-learning algorithms to forecast financial trends and customer behavior.
- Collaborate with cross-functional teams, including product development, marketing, and operations, to integrate data insights into business processes and product offerings.
- Design, build, and maintain data architecture and pipelines that ensure efficient data collection, processing, and storage.
- Conduct rigorous A/B testing and experiments to optimize algorithms and models.
- Communicate complex data insights to stakeholders at all levels of the organization through clear and compelling presentations and reports.
- Stay abreast of industry trends and advancements in data science and fintech, and advocate for the adoption of new technologies and methodologies that can benefit the organization.
- Mentor junior data scientists and analysts, fostering a culture of learning and continuous improvement within the team.
Qualifications:
- Minimum of 5 years of experience in a Data Science role, preferably within the fintech or financial services industry.
- Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
- Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with big data technologies like Spark, Hadoop, or similar frameworks.
- Demonstrated expertise in machine learning, predictive modeling, and statistical analysis methods.
- Strong problem-solving skills and the ability to work on complex issues requiring detailed analysis and evaluation.
- Excellent communication skills, with a proven track record of effectively presenting data insights and recommendations to both technical and non-technical audiences.
- A collaborative team player who thrives in a fast-paced, iterative, and entrepreneurial environment.
- A passion for fintech and a strong desire to contribute to a team that aims to revolutionize the financial industry through technology and data.
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