Data Scientist 26O25

As a Data Scientist, you will play a crucial role in transforming our data into insights that drive business growth and innovation. You will work closely with cross-functional teams to analyze complex datasets and develop algorithms that deliver predictive models and actionable business insights. This role requires a unique blend of analytical skills, programming expertise, and business acumen to address the challenges faced by our organization. You will be involved in the end-to-end data science lifecycle, from data collection and pre-processing, hypothesis testing, to constructing machine learning models that solve critical business problems. If you are passionate about using data-driven approaches to revolutionize how decisions are made, we invite you to be a part of our dynamic team.

Responsibilities

• Collaborate with stakeholders to understand business challenges and data needs.
• Design and implement data models for predictive and prescriptive analytics.
• Develop machine learning algorithms to forecast trends and patterns.
• Analyze large and complex datasets to derive actionable insights.
• Communicate findings and insights to both technical and non-technical audiences.
• Evolve and scale data processes to handle growing data volumes efficiently.
• Conduct hypothesis testing to validate business and data assumptions.
• Ensure data integrity and quality throughout the data lifecycle.
• Develop and maintain comprehensive documentation for data science solutions.
• Stay updated with industry trends and incorporate cutting-edge techniques into models.
• Work with engineering teams to implement data science solutions into production.
• Mentor junior data scientists and support the development of team skills.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Data Science, or related field.
• Minimum of 3 years of experience in data science roles or related fields.
• Proficiency in Python or R and experience with data libraries in the ecosystem.
• Strong understanding of statistical methods, machine learning models, and algorithms.
• Experience with big data technologies such as Hadoop, Spark, or equivalent platforms.
• Excellent communication skills with the ability to explain complex concepts clearly.
• Ability to work collaboratively in a fast-paced, multidisciplinary team environment.