Data Scientist

Job Overview: We are seeking a highly skilled Data Scientist with 4-5 years of hands-on experience in data science, preferably within the fintech industry. The ideal candidate will have expertise in SQL, Python, and a strong ability to lead a small team in executing data-driven projects. You will be responsible for building and maintaining data models, conducting advanced analytics, and working closely with cross-functional teams to drive strategic insights that impact key business objectives.

Key Responsibilities:

• Lead and manage a small team of data scientists and analysts, ensuring high-quality project delivery.
• Work with large datasets to extract, clean, and analyze complex data, identifying trends, patterns, and actionable insights.
• Develop, test, and deploy machine learning models to solve business problems, optimizing processes and improving decision-making.
• Collaborate with business stakeholders to define data-driven strategies and deliver solutions aligned with business goals.
• Manage SQL databases and write complex queries to extract and manipulate data for analysis.
• Design and implement data pipelines, automating repetitive tasks and improving data workflows.
• Present findings and insights in a clear and concise manner to non-technical stakeholders.
• Stay up-to-date with the latest advancements in data science and fintech, continuously improving processes and methodologies.
• Contribute to the growth and development of junior team members through mentoring and knowledge sharing.

Required Qualifications:

• Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 4-5 years of hands-on experience in data science, with a proven track record of delivering data-driven solutions.
• Strong proficiency in Python and its libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, etc.).
• Expertise in SQL and database management (writing complex queries, data manipulation, etc.).
• Experience with machine learning algorithms, data modeling, and statistical analysis.
• Strong understanding of data visualization tools and techniques.
• Proven ability to manage and mentor a small team of data scientists or analysts.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Previous experience in the fintech industry or financial services.
• Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms (AWS, Google Cloud, etc.).
• Knowledge of advanced machine learning techniques, such as deep learning or natural language processing (NLP).
• Experience with data warehousing and ETL processes.

Why Join Us?

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technology in the fintech industry.
• Collaborative and innovative team environment.
• Career growth and leadership development opportunities.

If you are a driven and innovative data scientist with a passion for fintech and a proven track record of success, we would love to hear from you! Apply today to be part of an exciting journey.