Responsibilities:

• Collect, clean, and analyze structured and unstructured data from various sources to

generate actionable insights

• Develop predictive models, machine learning algorithms, and statistical analyses to

support business decisions

• Collaborate with cross-functional teams (Sales, Marketing, Operations, Finance) to

identify data-driven opportunities and improve business processes

• Design and implement dashboards and reports to monitor KPIs and performance

metrics

• Communicate findings and recommendations to stakeholders in a clear and concise

way, both technical and non-technical

• Ensure data quality, consistency, and security in collaboration with IT and data

engineering teams

• Stay up to date with the latest developments in data science, machine learning, and AI

technologies

Qualifications you should bring:

- Bachelors or Masters degree in Data Science, Computer Science, Statistics,

Mathematics, or a related field

- Strong knowledge of Python or R for data analysis and machine learning

-Proficiency in SQL and experience working with relational databases

- Experience with data visualization tools (Tableau, Power BI, or similar)

- Solid understanding of statistical modeling, machine learning algorithms, and

predictive analytics

- Familiarity with big data technologies (Hadoop, Spark, or cloud platforms such as

AWS, Azure, GCP) is a plus

- Strong problem-solving skills, with the ability to translate business needs into

analytical solutions

- Excellent communication skills and ability to work effectively in cross-functional

teams

- Detail-oriented, self-motivated, and able to manage multiple projects simultaneously