Key Responsibilities:

Collaborate with cross-functional teams to identify and understand key business challenges and opportunities that can be addressed through data analysis and modeling
Design and implement data-driven solutions to optimize business processes and drive decision-making
Develop and maintain data infrastructure and pipelines to support data analysis and modeling
Use statistical and machine learning techniques to analyze large and complex data sets and extract actionable insights
Build predictive models and algorithms to solve business problems and improve decision-making
Communicate findings and insights to stakeholders through data visualizations and presentations
Continuously monitor and evaluate the performance of data models and provide recommendations for improvement
Stay updated on the latest data science techniques and tools and identify opportunities for their application in our business processes
Mentor and guide junior team members in data science techniques and best practices

Qualifications:

5 of experience in a data science or analytics role
Bachelor Degree in Computer Science, Statistics, Mathematics, or a related field
Strong knowledge of statistical and machine learning techniques and their application in solving business problems
Proficiency in programming languages such as Python, R, and SQL
Experience with data visualization tools such as Tableau or Power BI
Experience with data manipulation and analysis using SQL and relational databases
Familiarity with data mining, data cleaning, and data wrangling techniques
Excellent communication and presentation skills with the ability to explain complex technical concepts to non-technical stakeholders
Strong problem-solving and critical thinking skills
Ability to work in a fast-paced and dynamic environment and manage multiple projects simultaneously
Experience with cloud computing and big data technologies (e.g., Hadoop, Spark) is a plus

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