Job Description

Company OverviewTravelopia USA Inc is a global leader in the travel industry, renowned for providing customers with exceptionally outstanding travel experiences. From safaris and private jet expeditions to tailor-made luxury holidays and educational trips, we pride ourselves on delivering world-class adventures. As part of a diverse and ambitious team, youll be working with professionals dedicated to making unforgettable travel experiences a reality.The RoleWe are thrilled to present an outstanding opportunity for a Lead Analyst - Data Science to join our Marketing team in Bangalore, Karnataka, India. This role is ideal for someone passionate about using data to make impactful business decisions. As a vital member of the Customer Insights and Analytics team, you will:

• Solve complex data science problems and support data-driven projects.
• Work closely with various business units and leadership teams to ensure exceptional, data-informed operations.
• Engage in ambitious projects involving advanced analytics, engineering, and machine learning.
• Build and improve predictive models, address business challenges, and drive strategic decisions through data insights.

What We Are Looking ForTechnical Skills

• 5+ years of experience as a Data Scientist
• Strong grasp of numbers, statistics, mathematical concepts, and algorithms
• Knowledge of data structures, relational data, and big data platforms
• Experience with Machine Learning (e.g., linear/logistics regression, random forest, SVM, neural networks)
• Ability to solve NLP problems (e.g., text extraction, text classification)
• Proficiency with Python and Excel/Google Sheets
• Experience with machine and deep learning frameworks such as TensorFlow and Keras
• Experience developing solutions on the cloud
• Demonstrated interest in learning and applying Generative AI is desirable

Responsibilities

• Business Problem-Solving: Collaborate with cross-functional teams to understand business needs and develop data-driven solutions.
• Data Analysis and Visualization: Collect, analyze, and interpret large datasets; build visualizations to communicate findings.
• Hypotheses Testing: Analyze data to test business hypotheses, validate results, and extract insights.
• Feature Engineering and Selection: Engineer relevant features from raw data for machine learning models.
• Machine Learning Model Development and Deployment: Develop, train, and deploy models; ensure quality and performance.
• Model Monitoring: Monitor and evaluate model performance to identify areas for improvement.
• Communication: Effectively communicate complex insights to technical and non-technical collaborators.
• Collaborator Management: Work with various departments to ensure efficient and timely execution of projects.

Personal Qualities

• Transparent and honest
• Attention to detail
• Critical thinker
• Excellent organizational skills
• Strong ability to work collaboratively
• Positive-minded and optimistic
• Eager to learn and grow
• Outstanding storytelling skills

Minimum EducationA bachelors or masters degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience.Working with UsWe operate globally in Europe, Australia, North America, and Southeast Asia. We strive to be the best and take pride in offering our customers a diverse range of holiday experiences.Benefits

• Competitive salary
• Bonus scheme
• Flexible working hours and a hybrid working model
• Wider scope for learning, working with global teams
• Career progression opportunities

We are committed to cultivating a diverse, equitable, and inclusive environment where everyone can flourish. We are dedicated to driving change through increasing awareness of and counteracting unconscious bias, building an inclusive culture, and embracing diversity in all its dimensions.Travelopia is committed to ensuring a work environment that is open, accessible, and inclusive. If you require accommodations or additional support to participate in the recruitment and selection process, please inform us. Our hiring team will work with you to provide suitable accommodations in a timely and confidential manner.To request accommodations, contact our team at Talent@Travelopia.com.#LI-GJ1 #LI-HYBRID

Travelopia