Sr Data Scientist
1 week ago
Company Description
Gegnat Yards is an award-winning global staffing and recruitment agency dedicated to connecting employers with qualified candidates efficiently and effectively. Our expertise lies in extending the reach of companies beyond their traditional networks, enabling them to find top talent for critical roles. By streamlining recruitment processes, we help organizations save time and resources while ensuring the selection of exceptional candidates. Our comprehensive approach includes market analysis, tailored strategies, and a data-driven methodology for success. Headquartered in Bengaluru South, Gegnat Yards thrives on delivering value-driven hiring solutions.
Role Description
We are seeking a skilled and analytical Data Scientist for a full-time, on-site role at our Bengaluru South office. The Data Scientist will be responsible for analyzing large datasets, building predictive models, implementing machine learning algorithms, and uncovering actionable insights. Responsibilities include collecting and processing structured and unstructured data, designing data-driven solutions for business challenges, and developing data visualization tools to support decision-making processes. The role also involves collaborating with cross-functional teams to align data strategies with organizational goals.
Qualifications
- Proficiency in data analysis, statistical modeling, and data interpretation to derive actionable insights
- Experience in machine learning, predictive modeling, and algorithm development
- Strong programming skills in Python, R, or other relevant languages
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
- Knowledge of big data tools and technologies such as Hadoop, Spark, or similar frameworks is a plus
- Strong problem-solving skills, adaptability, and attention to detail
- Experience with databases and SQL for data querying and manipulation
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- Prior experience in recruitment analytics or a similar field is advantageous but not required
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