Data Scientist (5-7 Yrs)

JOB DESCRIPTION

Job Title: Data Scientist

Job Location: India (Remote working would be possible)
Experience: 5-7 Years

Sol Analytics is seeking a Data Scientist to join our team of growing professionals. The ideal candidate would have a minimum of 5-7 years of core experience in Data Science, including Operational Analytics (Demand Forecasting, Inventory Management), managing loyalty programs. Minimum of 3 years in the Manufacturing/Retail Industry is preferred.

Need to have experience in working on Dataiku, certifications in Dataiku is required.

The successful candidate will:

• Lead and ideate new analytics use cases and projects for our clients.
• Develop Models and deploy in the production environment.
• Contribute to the growth of our Analytics practice.

Roles and Responsibilities:

           1. Key Role

• Client Engagements: Liaise with the client and support Analytics project execution of select projects with innovative solution using data Analytics.

  2. 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.