About this role
Position - Data Scientist
Location - Gurgaon
Experience – 6-9Years
We are seeking a talented and driven Data Scientist with 6-9 years of experience to join our dynamic team. In this role, you will leverage your analytical skills and technical expertise to extract insights from complex data sets, drive data-informed decision-making, and contribute to the development of innovative solutions that enhance our products and services.
Key Responsibilities:
• Analyze large and complex data sets to identify trends, patterns, and actionable insights. • Develop and implement predictive models and machine learning algorithms to solve business problems. • Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define data requirements and metrics. • Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations. • Conduct experiments and A/B testing to evaluate the impact of changes and inform strategic decisions. • Stay current with industry trends, technologies, and best practices in data science and analytics. • Mentor junior data scientists and contribute to a culture of continuous learning and improvement. •
Qualifications:
• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. • 6-9 years of experience in a data science role, with a strong portfolio of projects. • Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., Pandas, NumPy). • Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Strong understanding of statistical methods and their applications. • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). • Familiarity with SQL and relational databases for data extraction and manipulation. • Excellent problem-solving skills and attention to detail. • Strong communication and interpersonal skills.
Preferred Qualifications:
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus. • Knowledge of cloud platforms (AWS) for data storage and processing. • Experience in a specific domain (e.g., finance, healthcare, e-commerce) relevant to our business.
Key Responsibilities:
• Analyze large and complex data sets to identify trends, patterns, and actionable insights. • Develop and implement predictive models and machine learning algorithms to solve business problems. • Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define data requirements and metrics. • Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations. • Conduct experiments and A/B testing to evaluate the impact of changes and inform strategic decisions. • Stay current with industry trends, technologies, and best practices in data science and analytics. • Mentor junior data scientists and contribute to a culture of continuous learning and improvement.
Bachelor's Degree