Data Scientist 21N25

We are seeking a highly skilled and motivated Data Scientist to join our innovative team at 21N25. As a Data Scientist, you will play a critical role in deriving insights from complex data sets to support decision-making processes and guide strategic directions. Your expertise in statistical modeling, machine learning, and programming will be essential in translating data into actionable intelligence. In this position, you will work closely with cross-functional teams to understand business needs, develop predictive models, and ensure the delivery of high-quality data-driven solutions. If you are passionate about solving complex problems and have a knack for data analysis, we would love to hear from you.

Responsibilities

• Analyze complex datasets to identify trends, patterns, and key insights.
• Develop predictive models to support business decision-making processes.
• Collaborate with cross-functional teams to understand business requirements and objectives.
• Design and improve data collection processes to ensure data quality and accuracy.
• Create visualization tools and dashboards to present data-driven insights effectively.
• Apply machine learning algorithms to build and enhance predictive models.
• Conduct A/B testing to evaluate model performance and hypothesis testing.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Stay updated with the latest industry trends, tools, and technologies in data science.
• Lead and mentor junior data scientists and analysts as necessary.
• Document models, processes, and workflows for transparency and reproducibility.
• Ensure compliance with data privacy and security measures at all times.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
• Proven experience in a data scientist role, with practical expertise in data analysis.
• Strong programming skills in languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Proficiency in machine learning techniques and algorithms for model development.
• Excellent problem-solving skills with the ability to work on complex datasets.
• Strong communication skills to effectively present data-driven insights to stakeholders.
• Familiarity with big data processing tools such as Hadoop, Spark, or AWS is a plus.
• Ability to manage multiple projects simultaneously and deliver on tight deadlines.