Job Description

Roles & Responsibilities

Roles and Responsibilities:

Key Role

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• Client Engagements: Liaise with the client and support Analytics project execution of select projects with innovative solution using data Analytics.
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• Analytics Use Case Ideation & Implementation:
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• Ideate and develop new analytics use cases and projects for clients.
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• Implementation and execution of analytics projects from conception to completion.
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• Continuously identify opportunities for improving analytics processes and methodologies.
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• Analyze and interpret loyalty data to provide actionable insights and recommendations.
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Expertise

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• Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
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• Strong understanding of data modeling, statistical analysis, and machine learning techniques.
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• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
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• Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
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• Excellent leadership and team management skills.
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• Strong communication and presentation skills.
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• Ability to engage with clients and understand their business requirements.
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• Problem-solving mindset with a focus on delivering practical and impactful solutions.
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Desired Candidate Profile

Job Title: Data Scientist with Dataiku Exp

Job Location: India/UAE (Relocation may be required, if necessary)

Experience: 5-7 Years

u>

/u> 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.

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.

Company Industry

• IT - Software Services

Department / Functional Area

• IT Software
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