athGADLANG is looking for a Data Scientist Analyst for our reputable client.
Position Overview:
We are seeking a highly motivated and skilled Data Scientist to join our dynamic team. The Data Scientist will be responsible for analyzing large datasets, and providing data-driven insights to support strategic decision-making within the portfolio management team. This role will focus on extracting valuable information from various data sources, enabling the organization to optimize asset performance, forecast trends, and make informed investment decisions. The Data Scientist will collaborate closely with other departments to ensure that data analytics are integrated into the company’s overall strategy.
Responsibilities:
- Collect, process, and analyze large datasets from multiple sources, including financial, operational, and market data.
- Identify patterns, trends, and correlations within the data that can provide actionable insights for decision-making.
- Collaborate with the portfolio management, finance, and operations teams to integrate data.
- Analytics into business planning and decision-making processes.
- Provide recommendations on optimizing asset performance, reducing costs, and maximizing returns based on data-driven insights.
- Create interactive dashboards and visualizations that allow stakeholders to explore and understand key metrics and trends.
- Ensure that data visualizations are tailored to the needs of different audiences, from senior management to operational teams.
- Establish and maintain data governance practices to ensure the accuracy, consistency, and security of data.
- Foster a data-driven culture within the organization by promoting the value of analytics and encouraging the use of data in decision-making.
Requirements:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A master’s degree or Ph.D. in a relevant discipline is preferred.
- At least 5-8 years of experience in data science, analytics, or a related field, with a strong focus on data-driven decision support.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
- Ability to translate complex data into actionable insights and communicate them effectively to non-technical stakeholders.
- Experience in working with large datasets and databases, including cloud-based data storage solutions.
- Strong problem-solving skills and a proactive approach to identifying and addressing challenges.
- Ability to independently drive initiatives, from concept to implementation, within the data science domain.
- Excellent communication skills, with the ability to work collaboratively across departments and present data-driven insights to diverse teams.
