Data Scientist Jobs

Minerva is a dynamic and innovative company at the forefront of technological advancements in investments and data analytics. We are seeking a skilled and motivated Data Scientist to join our talented team. If you have a passion for leveraging data to derive meaningful insights and are eager to contribute to cutting-edge projects, this position is perfect for you.

How to Apply:

Interested candidates are encouraged to download our app to gain a better understanding of our services and be prepared for the application process.

Please visit https://minervainvesting.com/ to submit an official application and be sure to download the app: https://apps.apple.com/us/app/minerva-investing/id6447379462 before applying and interviewing.

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement data-driven solutions.
• Develop and maintain scalable algorithms and statistical models to solve complex business problems.
• Collaborate with stakeholders to identify business requirements, goals, and key performance indicators (KPIs).
• Identify opportunities for optimization, improvement, and innovation through data exploration and experimentation.
• Conduct thorough data analysis, modeling, and interpretation to extract valuable insights and drive informed decision-making.

Requirements:

• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong communication skills to effectively collaborate with team members and present findings to both technical and non-technical stakeholders.
• Bachelor's degree in Economics, Computer Science, Engineering, or a related field. A higher degree is a plus.
• Familiarity with SQL and relational databases.
• Solid understanding of statistical concepts and methodologies, including hypothesis testing, regression analysis, and time series analysis.
• Strong proficiency in data manipulation, statistical analysis, and machine learning techniques.
• Excellent problem-solving and critical-thinking skills with the ability to translate complex data into actionable insights.
• Proficiency in programming languages such as Python or R, with experience in data processing libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow).
• Passion for staying updated with the latest advancements in data science and analytics.

Compensation:

We offer competitive industry-standard compensation on a per-hour basis, based on experience and qualifications. Additionally, we provide a stimulating work environment, professional growth opportunities, and a direct chance to work with the company’s co-founders.