Loyalytics is hiring for an entry level Data Scientist

Position:

• Data Scientist

Company:

• Loyalytics

Location:

• Bengaluru East, Karnataka, India

Job Type:

• Full-time

Job Mode:

• On-site

Job Requisition ID:

• Not specified

Years of Experience:

• 1+ years in data science and consulting, preferably within the retail industry

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Company Description:

• Loyalytics is an innovative and rapidly growing analytics consulting and product development firm based in Bangalore.
• Specializes in assisting large retail clients globally to capitalize on their data assets.
• Comprises a young, vibrant team of over 100 analytics professionals.
• Utilizes some of the latest and most advanced tools and technologies in the industry.
• Who We Are:
  • A technical team composed of data scientists, engineers, and business analysts handling more than 1 million data points daily.
  • Operates within a massive, multi-billion-dollar global market.
  • Leadership team brings together over 40 years of cumulative industry experience.
  • Our clientele primarily consists of big retail brands in the GCC region acquired through strong word-of-mouth and referrals.
• What Sets Us Apart:
  • An eight-year-old company that is bootstrapped and has grown to over 100 employees.
  • Continues to hire and expand despite being fully self-funded.

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Profile Overview:

• Role: Seeking a skilled Data Scientist with a strong foundation in statistics, mathematics, and computer science.
• Responsibilities:
  • Collect, analyze, and interpret large datasets to derive actionable insights.
  • Utilize insights to inform and drive strategic decisions within the organization.
  • Collaborate with cross-functional teams to identify business needs and design experiments.
  • Develop predictive models and communicate findings to key stakeholders.
  • Implement data science solutions and techniques independently.
  • Conduct research, prototyping, and data gathering.
  • Coordinate with different functional teams to implement and monitor model outcomes.
• Key Competencies:
  • Proficiency in data analysis and a deep understanding of problem statements.
  • Ability to learn new tools, languages, and platforms quickly.
  • Comfort with Agile development methodologies.
  • Experience in deploying AI/ML-based solutions to drive value in the retail sector.

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Qualifications:

• Technical Skills:
  • Must-have:
    • Python: Expert-level proficiency.
    • SQL: Expert-level proficiency.
    • Pyspark: Intermediate-level proficiency.
    • Databricks: Intermediate-level proficiency.
    • JIRA: Beginner to intermediate proficiency.
  • Good to have:
    • Familiarity with data visualization tools.
    • Understanding of cloud infrastructure and architecture.
    • Experience within the retail domain.
• Experience:
  • Minimum of 1 year in data science and consulting, with a preference for experience in the retail sector.
• Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills to convey complex findings to non-technical stakeholders.
  • Ability to work effectively in a collaborative, cross-functional team environment.
  • Agile mindset and quick learning capabilities.

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Any Additional Info:

• Key Responsibilities:
  • Engage with stakeholders to identify opportunities for leveraging data to develop business solutions.
  • Design, conceptualize, and deliver high-quality, insightful analysis.
  • Collaborate with various teams for model development and outcome monitoring.
  • Focus on delivering solutions such as hypothesis testing, customer segmentation, and price optimization.
  • Comfortable working in an Agile development environment.
• Desired Attributes:
  • Proactive and driven with a passion for data science and analytics.
  • Ability to pick up new technologies and methodologies swiftly.
  • Willingness to engage in continuous learning and improvement.
• Work Environment:
  • Dynamic and fast-paced, reflecting the startup ethos.
  • Encourages innovation and creative problem-solving.
  • Provides opportunities to work with cutting-edge tools and technologies in data science.
• Career Growth:
  • Opportunity to grow within a young and rapidly expanding company.
  • Potential for significant impact by contributing to high-profile projects with global retail clients.

Please click here to apply.

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