Position: Data Scientist / Data Strategist
Company: Genius Software
Category: Data Science
Experience required: 3y
English level: intermediate

We are currently seeking a skilled and experienced Data Scientist/Data Strategist to join our team. In this role, you will be responsible for utilizing your expertise in Python, AWS, and Snowflake to analyze and interpret complex datasets, develop data-driven strategies, and provide valuable insights to drive business growth and innovation.

Responsibilities:
- Collect, clean, and preprocess large datasets from various sources.
- Apply advanced statistical and machine learning techniques to analyze data and extract meaningful patterns and insights.
- Develop predictive models and algorithms to forecast trends, identify opportunities, and solve business problems.
- Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
- Design and implement data strategies to optimize data storage, processing, and accessibility.
- Conduct exploratory data analysis to discover trends, patterns, and anomalies.
- Communicate findings and insights to stakeholders through clear and impactful data visualizations and reports.
- Stay updated with the latest industry trends and technologies in data science and analytics.


Requirements:
- Proven experience as a Data Scientist/Analyst or Data Strategist
- Proficiency in Python for data analysis, machine learning, and statistical modeling.
- Experience with AWS (Amazon Web Services) for data processing, storage, and deployment.
- Familiarity with Snowflake data warehouse and its functionalities.
- Strong knowledge of statistical analysis, data mining, and machine learning algorithms.
- Ability to effectively communicate complex ideas and findings to both technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.


If you are passionate about leveraging data to drive business decisions and are experienced in Python, AWS, and Snowflake, we would love to hear from you. Join our dynamic team and contribute to our data-driven success.