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Analyst-Data Science

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American Express

13d ago

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Data
    Research & Development

AI generated summary

  • You must have experience with ML techniques, SQL, data visualization, a quantitative Master's, research papers, and Python expertise. Knowledge of deep learning, LLMs, and statistics is essential.
  • You will analyze business problems, develop ML solutions, test algorithms, code in Python, apply NLP techniques, validate models, and derive insights from large datasets to drive efficiencies.

Requirements

  • 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
  • A research mindset with a zeal to experiment new algorithms is expected
  • Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute.
  • A set of high impact research papers on applied NLP/ Deep Learning/ GenAI
  • Prior experience working with Transformers/LSTMs/CNNs preferred
  • Working knowledge of finetuning 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
  • Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch.

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 primary focus of the Analyst-Data Science position at American Express?

The primary focus of the Analyst-Data Science position is to work on multiple Data Science and Machine Learning projects within the GSG Advanced Analytics team, helping to conceptualize business problems into data-driven solutions.

What qualifications are required for the Analyst-Data Science role?

The minimum qualifications include proven experience with machine learning techniques, the ability to work in cross-functional teams, excellent data wrangling and visualization skills, and hands-on knowledge of SQL.

Is a master's degree preferred for this position?

Yes, a master's degree in a quantitative field such as Finance, Engineering, Mathematics, Statistics, Computer Science, or Economics from a top institute is preferred.

What programming skills are necessary for this role?

A strong grip on the Python environment and libraries such as pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, and transformers is necessary, along with machine learning capabilities.

Are there opportunities for career development in this role?

Yes, American Express offers career development and training opportunities as part of the benefits provided to colleagues.

What type of benefits are provided to employees?

Benefits include competitive base salaries, bonus incentives, comprehensive medical, dental, vision, and life insurance, retirement support, flexible working arrangements, paid parental leave, wellness programs, and career development opportunities.

What is the work environment like at American Express?

American Express fosters a diverse and inclusive work environment where collaboration is key, and every colleague is recognized for their contributions, with a commitment to integrity and creating an environment of belonging.

What specific skills related to natural language processing (NLP) are essential for this role?

A focus on problem-solving through NLP, performance testing and validation of machine learning models, and understanding and deploying mathematical foundations of cutting-edge NLP techniques are essential.

Will the role involve working with large datasets?

Yes, candidates should be willing to derive insights from terabyte-sized data and have the capability to design scalable solutions.

What is the company's stance on equal opportunity employment?

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

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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.