Job Description
We are seeking a Senior Data Scientist to join our team at Salla.
As a Senior Data Scientist, you will be integral in our end-to-end development processes, from scoping to deployment.
The ideal candidate will thrive in a dynamic e-commerce environment and will drive projects that translate complex data into actionable insights, influencing both tactical and strategic decisions.
Responsibilities
Lead data science projects from initial scoping through to deployment, ensuring alignment with business objectives.
Develop and implement sophisticated data models and algorithms to enhance our understanding of user behavior and predict future trends.
Collaborate closely with cross-functional teams, including engineering, product management, and marketing to define project scopes and deliver scalable solutions.
Communicate complex data-driven insights to stakeholders at all levels across the company, facilitating informed decision-making.
Provide leadership and mentorship to junior data scientists and analytics team members, fostering a culture of innovation and continuous learning.
Desired Candidate Profile
Profile:
4-5 years of relevant experience in Data Science, ideally within an e-commerce setting.
Bachelor's or Master s degree in Data Science, Statistics, Computer Science, or a related field.
Strong foundation in programming, with proficiency in Python or R, and experience with data processing frameworks like Spark or Hadoop.
Expertise in statistical analysis, machine learning, predictive modeling, and data mining.
Demonstrated ability to manage end-to-end data science projects and deliver results in a fast-paced environment.
Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders.
Leadership experience with the ability to mentor team members and lead project teams.
Proficiency in deep learning techniques and frameworks such as TensorFlow or PyTorch.
Preferred Skills
Knowledge of Generative AI models and techniques.
Experience with large language models (LLMs) and their applications in generating insights and automating tasks.
Medical Health Insurance
Performance Bonus
Others
Education:
Bachelor of Technology/Engineering(), Bachelor of Science(Computers)
Gender:
nm
Nationality:
Any Nationality