Position:
Data Scientist
Company:
Loyalytics
Location:
Bangalore, India
Job Type:
Full-Time
Job Mode:
On-site
Job Requisition ID:
Not specified
Years of Experience:
0-2 years
Company Description:
Loyalytics is a rapidly expanding analytics consulting and product-focused organization headquartered in Bangalore.
The company specializes in assisting large retail clients worldwide in optimizing their data assets through consulting services and proprietary product accelerators.
It comprises a dynamic team of over 100 analytics professionals who work with cutting-edge tools and technologies to deliver impactful solutions.
The company operates in a massive, multi-billion-dollar global market with significant opportunities for growth and innovation.
Loyalytics has a leadership team with over 40 years of combined industry experience, ensuring strong strategic direction and execution.
Its customer acquisition is largely driven by word-of-mouth referrals, catering to renowned retail brands in GCC regions, including Lulu and GMG.
The company is an eight-year-old, bootstrapped, and rapidly growing organization, consistently expanding its workforce to meet increasing demands.
Profile Overview:
Loyalytics is seeking an enthusiastic and skilled Data Scientist with 0-2 years of experience to join its innovative analytics team.
The ideal candidate will have a strong command of Python, SQL, and Power BI, with a passion for leveraging data science and advanced analytics to address complex business challenges.
The role involves working on data-driven solutions, collaborating with stakeholders, and contributing to impactful decision-making.
Prior experience or a keen interest in the retail industry is highly desirable, as the role entails working on solutions tailored for major retail clients.
The candidate will be responsible for designing, implementing, and optimizing data science techniques to extract valuable insights from large datasets.
This position provides an opportunity to work in an agile development environment, contributing to the development and deployment of AI/ML models.
The role requires a proactive approach to problem-solving, continuous learning, and the ability to adapt to new tools, platforms, and methodologies.
Responsibilities:
Analyze business problems and develop data science-driven solutions to address key challenges.
Collaborate with stakeholders to identify data-driven opportunities for business improvements.
Develop and implement machine learning models and statistical techniques to solve real-world problems.
Conduct exploratory data analysis (EDA) and extract actionable insights from large datasets.
Work closely with cross-functional teams, including Data Engineering and Product Development, to deploy models and monitor their performance.
Design and develop algorithms for customer segmentation, propensity modeling, and targeted marketing strategies.
Apply analytical methods to solve problems related to pricing optimization, promotions, customer lifetime value (CLTV), and more.
Continuously learn and adapt to emerging technologies and methodologies in data science and analytics.
Document processes, methodologies, and findings to ensure clarity and reproducibility of results.
Operate within an Agile development framework to ensure efficient and timely delivery of data solutions.
Qualifications:
Must-Have Skills:
Proficiency in Python for data manipulation, machine learning, and statistical analysis.
Strong SQL skills to query, process, and analyze large datasets efficiently.
Experience with Power BI for data visualization and business intelligence reporting.
Excellent problem-solving abilities with a results-oriented approach.
Solid understanding of statistical concepts, machine learning algorithms, and data analytics methodologies.
Strong communication and collaboration skills to work effectively with diverse teams and stakeholders.
Ability to work independently and manage multiple projects in a fast-paced environment.
Good-to-Have Skills:
Knowledge of PySpark and Databricks for large-scale data processing.
Familiarity with cloud infrastructure and architecture, such as AWS, Azure, or Google Cloud.
Experience with project management tools like Click Up or similar platforms.
Exposure to additional data visualization tools beyond Power BI.
Previous experience in retail analytics or a strong interest in solving retail business challenges.
Additional Info:
This role provides a unique opportunity to be part of a high-growth analytics company that values innovation, collaboration, and continuous learning.
The candidate will gain hands-on experience in working with real-world data from large retail organizations and develop impactful solutions.
Loyalytics offers a dynamic work environment that encourages professional growth and provides exposure to state-of-the-art data science tools and technologies.
Employees will have the opportunity to engage with industry experts and senior leadership to enhance their analytical and business acumen.
The company fosters a culture of knowledge sharing, mentorship, and teamwork, ensuring that employees have access to the best resources for career development.
Competitive salary packages and performance-based incentives are offered to reward high-performing individuals.
Employees will be part of a team that thrives on solving challenging problems and creating value through data-driven insights.
The company is committed to maintaining a positive work environment, promoting work-life balance, and encouraging continuous upskilling and career progression.
Similar Openings:
Head – Retail Loyalty Program (Bangalore)
Data Engineer (Bangalore)
Salesforce Marketing Cloud Specialist (Bangalore)
For more details and to explore other job opportunities, visit the company’s careers page.
Please click here to apply.
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