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Analyst-Data Science

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American Express

Jan 9, 2025

Applications are closed

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    IT & Cybersecurity

Requirements

  • 0-3 years of Experience
  • Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, genism, pyspark, spacy, transformers)
  • Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
  • Ability to work in cross functional teams
  • Excellent data wrangling and visualization skills
  • Hands on knowledge of SQL is expected
  • Prior experience working with Transformers/LSTMs/CNNs preferred
  • Working knowledge of fine tuning Large Language Models(LLMs) is a plus.
  • Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
  • Deep learning expertise is preferred and any of Tensorflow/Torch is preferred

Responsibilities

  • Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
  • Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
  • Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
  • Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary.
  • Research focus on problem solving through NLP(Natural Language Processing) is critical.
  • Clear application on performance testing and validation framework of machine learning models.
  • Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data.
  • Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount

FAQs

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

The main focus is to work within the GSG Advanced Analytics team, applying data science and machine learning techniques to conceptualize business problems and generate efficiencies across various servicing areas.

What qualifications are required for this position?

Candidates should have 0-3 years of experience, a strong understanding of the Python environment and its libraries, proven experience with machine learning techniques, data wrangling and visualization skills, and hands-on knowledge of SQL.

Is research experience important for this role?

Yes, a research-focused mindset is essential, as the position requires the ability to engage with new techniques and algorithms in the field to drive process improvements.

What programming skills are necessary for this position?

Candidates must have a complete grip on the Python environment and libraries such as pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, and transformers.

What kind of data analysis will be involved in this role?

The role involves deriving insights from terabyte-sized data and designing scalable solutions, with a focus on natural language processing (NLP) and algorithm performance testing.

Are there opportunities for career development and training?

Yes, American Express offers career development and training opportunities to support employee growth.

What are the preferred qualifications for this Analyst-Data Science position?

Preferred qualifications include prior experience with Transformers/LSTMs/CNNs, working knowledge of fine-tuning Large Language Models (LLMs), deep knowledge of statistics and mathematics, and deep learning expertise with frameworks like TensorFlow or PyTorch.

What benefits does American Express offer to its employees?

Benefits include competitive base salaries, bonus incentives, comprehensive medical and dental insurance, flexible work arrangements, generous paid parental leave, access to wellness centers, counseling support, and more.

Does American Express have a commitment to diversity and inclusion?

Yes, American Express is an equal opportunity employer and is committed to making employment decisions without regard to various protected statuses, promoting a diverse and inclusive work environment.

What is the application process for the Analyst-Data Science role?

The offer of employment is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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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.