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
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.
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.
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.
- Must-have:
- 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.
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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