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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


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.


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.


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.


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


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