Overview
Sol Analytics is seeking a Data Scientist to join our team. The ideal candidate would have a minimum of 5-7 years of core experience in Data Science, including Operational Analytics (Demand Forecasting, Inventory Management), and experience managing loyalty programs. Minimum of 3 years in the Manufacturing/Retail Industry is preferred. Experience with Dataiku is required, and certifications in Dataiku are preferred.
Responsibilities
- Lead and ideate new analytics use cases and projects for our clients.
- Develop models and deploy them in the production environment.
- Contribute to the growth of our Analytics practice.
Roles and Responsibilities
- Client Engagements: Liaise with the client and support Analytics project execution of select projects with innovative solutions using data Analytics.
- Analytics Use Case Ideation & Implementation: Ideate and develop new analytics use cases and projects for clients; Implementation and execution of analytics projects from conception to completion; Continuously identify opportunities for improving analytics processes and methodologies; Analyze and interpret loyalty data to provide actionable insights and recommendations.
Expertise
- Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
- Strong understanding of data modeling, statistical analysis, and machine learning techniques.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
- Excellent leadership and team management skills.
- Strong communication and presentation skills.
- Ability to engage with clients and understand their business requirements.
- Problem-solving mindset with a focus on delivering practical and impactful solutions.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Computer Engineering, Data Science and AI or related field.
- Post Graduate degree in Computer Science will be an added advantage.
- Experience with predictive modelling, machine learning, and data governance is a plus.