AI Palette is hiring for a fresher entry level Data Science Analyst in India

Position:

• Title: Data Science Analyst

Company:

• Name: Ai Palette

Location:

• City: Bangalore, India

Job Type:

• Type: Full-Time

Job Mode:

• Mode: On-site

Job Requisition ID:

• ID: Not specified

Years of Experience:

• Required Experience: Not specified; but as per the JD - entry level; 0-3 years
  

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Company Description:

• Ai Palette is a pioneering AI-driven SaaS platform company dedicated to transforming the food industry.

• The company’s mission is to help food companies create products that consumers truly desire.

• Ai Palette aspires to become the most preferred Food AI company globally.

• Founded by industry experts with extensive experience in the food industry and artificial intelligence.

• Works with Fortune 500 companies and FMCG brands to deliver cutting-edge solutions.

• Recognized through numerous accolades and awards, such as:

  • Top 5 AI startup for FMCG industry by StartUs Insights.

  • Top 10 Global Food & Retail Tech startup at Kickstart Innovation 2020, Switzerland.

  • Top 15 Global Food Tech Startup at Slingshot 2019, Singapore.

  • Top 200 Global startups at HKSTP Epic 2020, Hong Kong.

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Profile Overview:

• The role of Data Science Analyst involves working within the Analytics and Consulting team to deliver analytics solutions to clients.

• Responsibilities include data processing, exploratory analysis, predictive modeling, and visualization.

• Serves as a critical link between leading consumer goods companies and Ai Palette’s team.

• Offers an opportunity to work on interesting challenges with industry leaders and apply social data and data science to redefine consumer research.

• Collaborative role involving account managers, engineering teams, and stakeholders to design and deliver impactful solutions.

• Encourages professional growth by engaging with the latest advancements in AI and data science.

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Qualifications:

Educational Background:

• Bachelor’s or Master’s degree in:

  • Data Science

  • Statistics

  • Mathematics

  • Computer Science

  • Related fields

Technical Skills:

• Proficient in programming languages such as Python or R.

• Hands-on experience with machine learning libraries:

  • scikit-learn

  • TensorFlow

  • PyTorch

• Expertise in data mining, manipulation, and querying.

• Proficiency with visualization tools:

  • Tableau

  • Power BI

  • Python libraries (matplotlib, seaborn).

Analytics Experience:

• Practical experience in:

  • Predictive model development

  • Optimization techniques

  • Statistical analysis

• Familiarity with NLP techniques and time series forecasting is advantageous.

Soft Skills:

• Strong problem-solving abilities and attention to detail.

• Exceptional communication skills to convey complex concepts clearly.

• Effective time management skills in dynamic environments.

Preferred Qualifications:

• Experience in consulting or client-facing analytics projects.

• Familiarity with MLOps practices or deploying machine learning models.

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Additional Info:

Responsibilities:

Data Analysis and Modeling:

• Conduct exploratory data analysis (EDA) to derive actionable insights.

• Develop, validate, and deploy machine learning models for business problem-solving.

• Build optimized systems for recommendation, classification, and forecasting.

Client Collaboration and Project Delivery:

• Partner with account managers to scope and execute analytics projects.

• Prepare impactful dashboards and reports for stakeholders at all levels.

Data Management and Visualization:

• Collect and preprocess large datasets from diverse sources.

• Develop intuitive visualizations using tools like MS Excel and Python libraries.

Cross-Functional Collaboration:

• Work with consulting and engineering teams to translate client requirements into technical solutions.

• Collaborate with stakeholders to integrate analytics into decision-making processes.

Continuous Improvement:

• Stay abreast of the latest trends in analytics, machine learning, and AI.

• Share innovative ideas, tools, and techniques to foster a culture of innovation.

Benefits:

• Professional growth opportunities:

  • Career progression paths tailored for individual development.

• Comprehensive health insurance:

  • Includes hospital/surgical, major medical, and outpatient coverage.

• Sponsored learning opportunities:

  • Access to Coursera training programs.

  • Annual library membership for continuous knowledge expansion.

• Flexible work hours:

  • Accommodates early risers and late-night workers alike.

Equal Opportunity:

• Ai Palette values diversity and fosters an inclusive workplace.

• Provides equal employment opportunities regardless of:

  • Race

  • Religion

  • Color

  • National origin

  • Gender

  • Sexual orientation

  • Age

  • Marital status

  • Veteran status

  • Disability status

Please click here to apply.

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