Machine Learning & Data Engineer - Python & SQL - GO2 Unify - American Express : Job Details

**Description**

You Lead the Way. Weve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success. Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day. And well do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex

The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.

GO2 Unify is the Java based POA platform for Global Onboarding and Orchestration. GO2 is the platform that looks after all activities required to be done for onboarding a customer across markets, segments and products. When a customer selects an Amex product from a channel (example americanexpress.com), enters the demographic and other information and clicks submit, the application is passed over to GO2 .

Extract insights from data using SQL or Python in a in-house or Google Cloud environment. Provide the results in actionable, simple, and impactful formats to business partners.

* Identify and analyze data discrepancies and data quality issues and work to ensure data consistency and integrity.

+ Partner with Product to develop insights to enhance their products, including customer behavior/usage studies or product diagnostic analyses which will be used to drive larger teams decision strategy and project requirements

* Conduct deep dives to understand trends, generate, and present actionable insights. Create, enhance, and maintain monthly reporting for Acquisition Product performance tracking.

* Gather, sanitize, and preprocess extensive datasets from various sources, and perform exploratory data analysis.

* Implement appropriate ML algorithms regression, classification etc. Experience in Coding, Supervised and Unsupervised

* Develop predictive modeling that will enable the right acquisition trends and customer retention and growing diverse representation.

* Proficiency with ML frameworks and libraries Tensorflow, scikit etc.

* Develop and maintain dashboards, reports and visualizations to communicate key findings and insights to stakeholders to enable data-driven decision-making.

* Understanding of statistical and experimentation concepts such as distributions, regression, confidence, correlation, significance, P-value, T-tests, etc

* Experience with data visualization tools (Tableau, PowerBI, matplotlib, etc.), with strong ability to communicate complex findings

Minimum Qualifications

* Bachelors or Masters degree in Statistics, Economics, Mathematics, Engineering or related analytical field

* Proficiency in data manipulation and analysis using SQL, Python, R or the equivalent

* Demonstrate creativity, curiosity, and passion for dealing with large amounts of data and converting it into valuable, actionable information.

* Experience with SQL, Python, or other scripting languages.

* Experience with Excel, Power BI, or Tableau.

* Collaborate effectively and work closely within a coordinated team environment.

* Excellent written and verbal communication and comprehension skills.

* Quantitative and qualitative analytical skills with the ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

* Able to present results of analysis to non-technical audiences with experience in crafting presentations with effective data visualization.

* Strategic thought leadership and strong critical thinking and analytical skills.

Above all a strong desire to learn new skills to adapt to rapidly changing tech environment.

**Qualifications**

Salary Range: $85,000.00 to $150,000.00 annually bonus benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, well consider your location, experience, and other job-related factors.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

+ Competitive base salaries

+ Bonus incentives

+ 6% Company Match on retirement savings plan

+ Free financial coaching and financial well-being support

+ Comprehensive medical, dental, vision, life insurance, and disability benefits

+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

+ 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy

+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

+ Free and confidential counseling support through our Healthy Minds program

+ Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

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.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers/Employees - Click here to view the Know Your Rights poster and the Pay Transparency Policy Statement.

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Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

**Job:** Technologies

**Primary Location:** US-New York-New York

**Schedule** Full-time

**Req ID:** 24020339