Associate - Data Scientist

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.
**Description**:
United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Find your future at United We’re reinventing what our industry looks like, and what an airline can be - from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward.

Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups.

Create what’s next with us. Let’s define tomorrow together.

**Job overview and responsibilities**:
Data Scientists within Ai partner with business and technology leaders across the company to deploy AI & ML powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, boost customer engagement and to automate manual processes by leveraging state-of-the-art ML techniques. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments.
- Work with other data scientists and a variety of stakeholders (IT, DE, business etc.) to deliver high-quality models
- Gathering and analyzing data of United’s various operations to make fact-based, data-driven recommendations
- Execute solutions to business problems using data analysis, machine learning and optimization tools
- Enable data transfer between platforms and monitor model performance for scalable project deployments
- Research latest machine learning approaches and share the knowledge across the team
- Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers
- Partner and engage with data engineering and operations teams to inform and support business stakeholders with day-to-day project updates.

**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for**
**United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.**

**Qualifications**:
**What’s needed to succeed (Minimum Qualifications)**:

- BTech/Bachelor’s degree in Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
- Full time or internship experience in analytics/data science
- 0-3 years relevant work experience
- Excellent analytical and problem-solving skills
- Proficiency in Programming Languages (Python/R), SQL, Excel and other Microsoft Office products
- Intermediate knowledge in machine learning algorithms like Bagging (Decision Trees, RF), Boosting (XGBoost, GBM), Clustering (KMeans)
- Proven comfort and an intellectual curiosity for working with very large sets of data
- Understanding of probability & statistics
- Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience
- Strong interpersonal skills with a focus on teamwork

**What will help you propel from the pack (Preferred Qualifications)**:

- MTech/Master’s degree in Data Science, Business Analytics, Engineering, Technology, Computer Science,, Statistics, Operations Research, Applied Mathematics, Economics
- Knowledge of deep learning/neural networks and experience with NLP/CV
- Hands on experience in using AWS/Azure etc