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Analyst-Data Science

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American Express

Oct 30, 2024

Applications are closed

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Product

Requirements

  • Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization.
  • Strong quantitative, analytical, and structured problem-solving skills.
  • Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families, optimizations considerations for ML models, deployment and serving challenges.
  • Knowledge of Big Data Platforms such as Hadoop, Spark and Cloud Platforms such as GCP.
  • Knowledge of designing and building big data tools and frameworks
  • Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
  • Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies.
  • Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams
  • Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow.
  • Familiarity with product management tools such as Rally, Jira, and Confluence
  • Excellent verbal and written communications skills
  • Undergraduate/Master’s in Computer Science / Information Technology / Mathematics / Operations Research / Statistics, MBA from institutes of global repute.

Responsibilities

  • Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes.
  • Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives.
  • Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions.
  • Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development.
  • Translate product roadmap into well defined requirements and acceptance test criteria.
  • Drive end-to-end ML/AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams.
  • Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption.
  • (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users.
  • Create POCs for best in class AI-ML innovative products with the potential to scale.

FAQs

What is the primary focus of the Analyst-Data Science role at American Express?

The primary focus is to contribute to defining and articulating the long-term AI product strategy and roadmap, solve complicated business problems, and drive end-to-end ML/AI product developments.

What technical skills are required for this position?

A strong technical background in AI/ML, proficiency in Python and SQL, data analytics, data visualization, and familiarity with big data platforms such as Hadoop and Spark is required.

What kind of experience do I need in machine learning?

Candidates should have familiarity with the ML model development lifecycle, including feature selection and engineering, various ML algorithms, optimization considerations, and deployment challenges.

Is there an emphasis on teamwork in this position?

Yes, strong interpersonal and collaborative skills are essential, as the role involves working with global teams, engineers, and designers.

What qualifications do I need to apply for this role?

An undergraduate or master's degree in Computer Science, Information Technology, Mathematics, Operations Research, Statistics, or an MBA from a globally recognized institution is required.

What tools and platforms should I be familiar with for this job?

Candidates should be knowledgeable about notebook-based IDEs like Jupyter and Airflow, as well as product management tools such as Rally, Jira, and Confluence.

Are there opportunities for professional development?

Yes, there are career development and training opportunities available to support your growth within the company.

What benefits does American Express offer to its employees?

American Express offers competitive salaries, bonus incentives, comprehensive medical benefits, flexible working models, generous parental leave, and wellness support, among others.

How does American Express support employee well-being?

American Express prioritizes physical, financial, and mental health through various benefits, including access to wellness centers, counseling support programs, and retirement planning.

Is American Express an equal opportunity employer?

Yes, American Express is an equal opportunity employer and makes employment decisions without regard to various protected statuses.

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American Express

Finance
Industry
10,001+
Employees
1850
Founded Year

Mission & Purpose

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

Culture & Values

  • We Back Our Customers

    Relationships are at the heart of our business. We strive to be essential to our customers by delivering exceptional products, services and experiences every day – and promise to have their backs in everything we do.

  • We Make It Great

    We deliver an unparalleled standard of excellence in everything we do, staying focused on the biggest opportunities to be meaningful to our customers. From our innovative products to our world-class customer service, our customers expect the best—and our teams are proud to deliver it.

  • We Do What’s Right

    Customers choose us because they trust our brand and people. We earn that trust by ensuring everything we do is reliable, consistent, and with the highest level of integrity.

  • We Respect People

    We trust and respect one another for who we are and what we contribute. We are accountable to one another and empower every voice through open, courageous dialogue so others feel heard.

  • We Embrace Diversity

    We see diversity of people and experiences as fuel for the creativity and innovation we need to be and deliver our best.

  • We Stand for Inclusion

    We all have biases. However, we do not tolerate bias that excludes or minimizes anyone – all people belong. We’re committed to ensuring that we have a welcoming and inclusive culture where everyone’s voice matters and where people of all races, ethnicities, genders, gender identities, sexual orientations, ages, religions, disabilities and viewpoints can thrive.

  • We Win As a Team

    We view each other as colleagues—part of the same team, striving to deliver the brand promise to our customers and each other every day. Individual performance is essential and valued, but never at the expense of the team.

  • We Support Our Communities

    We respect our communities and are committed to working together so they can thrive and make a meaningful difference in the world.