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Lead Data Scientist

Early Applicant
  • Posted a month ago
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Job Description

How You'll Help Us Keep Climbing (Overview & Key Responsibilities)

Key Responsibilities

  • Lead high-impact analytical and modelling projects from problem definition to measurable business outcome.
  • Translate ambiguous commercial questions into well-structured statistical or optimisation problems.
  • Design and run robust analyses, including:
  • Hypothesis testing
  • Experimental design (A/B and quasi-experimental)
  • Power calculations
  • Model validation and back testing
  • Build predictive and prescriptive models using appropriate statistical and machine-learning methods.
  • Critically assess model assumptions, bias/variance trade-offs, overfitting risks, and data limitations.
  • Clearly communicate uncertainty, limitations, and trade-offs to non-technical stakeholders.
  • Partner with engineering teams to ensure models are implemented reliably and responsibly in production.
  • Contribute to our standards for validation, documentation, and reproducible analytical practice.
  • Mentor the junior members of the team.

What You Need To Succeed (Minimum Qualifications)

7+ years in software and Data Science experience

  • Strong foundations in statistics and probability, including:
    • Hypothesis testing and confidence intervals
    • Regression modelling and diagnostics
    • Experimental design and causal reasoning
    • Understanding of sampling, bias, variance, and uncertainty
  • Demonstrable experience applying statistical or ML models to real business problems.
  • Ability to explain:
    • Why a model works
    • When it won't work
    • What assumptions it relies on
    • How confident we should be in its outputs
  • Strong Python skills (e.g. pandas, scikit-learn, PySpark or similar) and solid SQL capability.
  • Experience validating models properly (cross-validation, holdouts, back testing, sensitivity analysis).
  • Clear and confident communication with both technical and non-technical stakeholders.
  • A degree (or equivalent experience) in statistics, mathematics, computer science, engineering, or a related quantitative field.
  • We value candidates who can reason deeply about a problem — not just apply a library.
  • Lead initiatives with high accountability, create a collaborative environment with a solution-based approach.
  • Serve as a trusted advisor and mentor for the team offering technical advice.
  • Ability to communicate with precision, engaging team and stakeholders to build trust and reliable working relationships across cross-functional teams and geographies enabling organizational alignment.
  • Ability to set priorities with the team by understanding interdependence, inspiring team members with consistent focus, quality output, and timelines.
  • Constantly keep oneself updated on current technology & trends to drive innovative decisions through piloting forward-thinking approaches to complex problems in one's own area of work.
  • Inquisitive to understand customer priorities and business challenges while creating value for technical solutions.
What Will Give You a Competitive Edge (Preferred Qualifications)

  • Strong communication skills and stakeholder management skills
  • Innovative mindset and a Go Getter attitude
  • Experience with optimisation methods or operations research.
  • Exposure to causal inference techniques (e.g. matching, uplift modelling, diff-in-diff).
  • Experience applying NLP or GenAI in a statistically responsible way.
  • Familiarity with model lifecycle tools (e.g. MLflow, Databricks)

About The Company

What started as a humble, little aerial crop-dustingoperation called Huff DalandDusters in 1924 has now grown into the U.S. global airline leader in safety, innovation, reliability, and customer experience. Headquartered in Atlanta, Georgia, Delta Air Lines is known for its operational excellence and award-winning customer service.

Powered by our employees worldwide, Delta has led the airline industry in operational excellence for a decade while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good.

In 2026, Delta Air Lines continued to earn global recognition for its performance, culture and operational excellence. Delta was named to Glassdoor's 2026 Top 100 Best Places to Work list for the ninth time, standing as the only airline recognized. Delta also secured the 11th spot on Fortune's World's Most Admired Companies list, marking its 13th consecutive year earning this distinction. Delta was also recognized by Cirium as the top on-time airline in North America for the fifth consecutive year, underscoring its unwavering commitment to reliability and customer experience.

About The Delta Technology Hub (DTH), Bangalore

The DTH is one of Delta Air Lines investmentsin world-class business capabilities andtechnology aimed at transforming how Delta Air Linesoperates and provides world-class travelexperiences to its customers throughinnovation and cutting-edgemethodologies. By continuously reimagining processes and driving technology-led transformation, the Delta Technology Hub plays a pivotal role in Scripting The Future Of Aviation. The organization is certified by the Great Place to Work Institute (India). The Delta Technology Hub was a finalist for the iVolunteer Awards 2024/2025 in the Leader in Employee Volunteering category. This nomination highlights our remarkable volunteering initiatives and the outstanding practices we implement to encourage and support our employee volunteering program.

For more information, please visit www.deltatechhub.com

Why join

  • Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience.
  • Deepen your knowledge by taking part in multifaceted learning and development programs –exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships.
  • Immerse yourself in an employee-centric culture.
  • Develop deep and broad business acumen on airline operations whileretainingfocus oncutting-edgetechnology driven solutions.
  • Avail a full range of benefits that support you and your family: Medical Insurance, Transportation to and from the DTH office, Complementary Cafeteria Meals, Special Travel opportunities and Travel Privileges, Car Lease Program, Paid time off, Parental Benefits and National Pension Scheme.

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Job ID: 148378057

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