Data Scientist, Dataiku Exp (5+ Yrs)

Solanalytics

Bengaluru

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+
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Job summary

A data analytics firm based in India is seeking a Data Scientist with extensive experience in Data Science and operational analytics. The ideal candidate will have 5-7 years in the field, proficiency in Dataiku, and a deep understanding of data modeling and machine learning. Responsibilities include leading analytics projects, developing models, and engaging with clients to deliver impactful solutions. This role offers an opportunity to grow within a dynamic team focused on innovative analytics applications.

Qualifications

  • Minimum 5-7 years of experience in Data Science.
  • Preference for 3 years in the Manufacturing/Retail Industry.
  • Experience with predictive modeling and machine learning is a plus.

Responsibilities

  • Lead and ideate new analytics use cases and projects for clients.
  • Develop models and deploy in the production environment.
  • Contribute to the growth of the Analytics practice.
  • Engage with clients and support project execution.

Skills

Dataiku
SAS
Python
R
SQL
Tableau
Power BI

Education

Bachelor’s degree in Computer Science or related field
Post Graduate degree in Computer Science

Tools

Hadoop
Spark

Job description

Job Description

Job Title: Data Scientist with Dataiku

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

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