Know us a little better! The Landmark Group, founded in 1973, has a diverse portfolio of retail and hospitality brands. It has successfully grown into one of the largest and most successful retail conglomerates in the MENA region with an entrepreneurial culture focused on delivering exceptional value. The Group employs over 45,000 people, and operates over 1,600 outlets covering 22 million square feet across 19 countries in the Middle East, North Africa and India region. Built with love and loads of effort by many smart, talented and passionate Landmarkers, our goal is simple: to deliver high impact to all business functions and institutionalize data driven decision making. The Landmark Group is one of the leading retail and hospitality organizations in the Middle East and India. Its vast portfolio of successful businesses includes award-winning household brands like Lifestyle, Max, Splash and Home Centre. Culturally we are an open organization with No Cabin culture and with Lean Structure. We believe Sports makes a person active and intelligent and we would be happy if you play some Table Tennis or pocket in some balls in Pool table An organization we are ranked as a Great place to work and we are proud of our Company values. Data Labs Team Introduction: - Data Labs at Landmark was established in 2015 and is a key function to aid the different businesses of Landmark Group in both overall strategy and intelligent data driven decision making. The team has seen immense growth in the last two years expanding from a team of 2 people in 2015 to 100+ members globally (Dubai & Bangalore). The team follows an on-shore/ off-shore model of delivery and consists of people with expertise in Retail Analytics & Product Development, solving problems not limited to Inventory Management, Assortment Planning, End to End Supply Chain & Pricing. Landmark Group Job Description Job Title: Data Scientist Who are we looking for: - Master's degree in Computer Science, Mathematics, Statistics, Econometrics or Physics - At least 2+ years of experience in a Data Science related field - Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems - Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet - Excellent programming skills preferably in Python and SQL - Previous experience with Azure, Spark, and git - Basic understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.) - Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions - Exposure to data visualization software and packages (Prower BI, matplotlib, d3, highcharts) - Understands challenges in business area, applicability of relevant data science disciplines, and system interactions - Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail - Strong sense of urgency and commitments - Open to travel on need basis (upto to 20%) Your Key Responsibilities: - Investigate the feasibility of applying scientific principles and concepts to business problems - Develop new algorithms independently to solve well defined retail problems and improve existing algorithms - Work with product team to implement new modules, maintain and release production pipelines in timely and responsible manner - Develop POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders - Collaborate with Data Engineering, Advisory and Product team to find scope of improvement and drive right processes Reporting To: This role will report to Lead Data Scientist Location: Bangalore

Bangalore

Landmark Group - Data Scientist - Analytics 

Job Description for Landmark Group - Data Scientist - Analytics  in Lifestyle International Private Limited in  Bangalore for (2-5) years of experience. Apply Now!