16 Aug
|
Talent Leads Consultants
|
Mumbai
16 Aug
Talent Leads Consultants
Mumbai
:
Position Overview: As a Data Scientist, he will be responsible for translating management and business requirements into advanced analytics solutions. He will play a crucial role in the development of data pipelines, business intelligence tools, and the delivery of meaningful insights through trend analysis and business analytics.
Responsibilities:
1. Data Analysis and Modeling:
- Collaborate with cross-functional teams to understand management and business requirements.
- Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to derive actionable insights.
2. Data Pipeline Development:
- Design and build productive data pipelines to support the collection, processing, and analysis of large datasets.
- Ensure the availability, reliability, and scalability of data pipelines to meet business needs.
3. Business Intelligence (BI) Tool Development:
- Work closely with IT teams to develop and maintain BI tools that provide intuitive access to data for business users.
- Create dashboards and reports that visualize key performance indicators and support data-driven decision-making.
4.
Trend Analysis and Reporting:
- Conduct trend analysis to identify patterns, correlations, and anomalies in large datasets.
- Generate and present regular reports on business analytics, highlighting key insights and recommendations.
5. Collaboration and Communication:
- Collaborate with stakeholders to understand their analytical needs and translate them into actionable plans.
- Communicate complex analytical findings to non-technical stakeholders in a clear and concise manner.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related field.
- Proven experience as a Data Scientist with a focus on business analytics and trend analysis.
- Strong programming skills in languages such as Python or R.
- Experience with data visualization tools (e.g., Zoho Analytics, Tableau, Power BI).
- Knowledge of statistical modeling, machine learning, and data mining techniques.
- Excellent problem-solving and critical-thinking skills.
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