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Mobile Bank Data Scientist Jobs (NOW HIRING)

Valley Bank

Data Scientist

Manhattan, NY · On-site

Knowledge and experience in the banking industry and banking systems. * Advanced knowledge of data ... The Data Scientist will have strong collaboration and communication skills to effectively partner ...

Q2 Software, Inc.

Senior Data Scientist

Cary, NC · On-site

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Q2

Senior Data Scientist

Cary, NC · Hybrid

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Skillify Solutions

Data Scientist

Manhattan, NY · On-site

Deliver strategic data initiatives within a large multinational bank, including cloud migration ... Science * Assistant Vice President Expectations * To advise and influence decision making ...

Kochava

Data Scientist

Sandpoint, ID · On-site

We are looking for a talented and driven Data Scientist to join our team. In this role, you will be ... Kochava began in 2011 when a team of mobile and gaming professionals saw the need to better ...

Kochava

Data Scientist

Sandpoint, ID · On-site

We are looking for a talented and driven Data Scientist to join our team. In this role, you will be ... Kochava began in 2011 when a team of mobile and gaming professionals saw the need to better ...

Bank of America

Data Scientist II

Charlotte, NC

At Bank of America, we are guided by a common purpose to help make financial lives better through ... The data science team (within GPS) is working on more than five projects that are driving/will ...

Bank of America

Data Scientist II

New York, NY · On-site

At Bank of America, we are guided by a common purpose to help make financial lives better through ... The data science team (within GPS) is working on more than five projects that are driving/will ...

Kochava

Data Scientist

Sandpoint, ID · On-site

We are looking for a talented and driven Data Scientist to join our team. In this role, you will be ... Kochava began in 2011 when a team of mobile and gaming professionals saw the need to better ...

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Data Scientist Location: Washington, DC Work Arrangement: 100% Onsite - 5 Days per Week Clearance ... Experience working with Bank Secrecy Act (BSA), Anti-Money Laundering (AML), or related financial ...

Us Bank

Data Scientist

Atlanta, GA · On-site

$112 - $131/hr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Define enterprise data standards, metadata management practices, and data governance processes.

Amphenol TCS

Data Scientist

Yocumtown, PA · On-site

... Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world ... Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for ...

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Mobile Bank Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do mobile bank data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for mobile bank data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a Mobile Bank Data Scientist do?

A Mobile Bank Data Scientist analyzes data from mobile banking platforms to improve services, enhance security, and personalize customer experiences. They use statistical methods, machine learning, and data visualization to identify trends, detect fraud, and make data-driven decisions. Their work helps mobile banks optimize app features, target marketing efforts, and ensure compliance with regulations. By leveraging large datasets, they play a crucial role in shaping the future of digital banking.

What skills and qualifications are needed to be a mobile bank data scientist?

To thrive as a Mobile Bank Data Scientist, you need expertise in statistics, machine learning, data analysis, and proficiency in programming languages like Python or R, along with a relevant degree in computer science, mathematics, or a similar field. Familiarity with big data tools (such as Hadoop or Spark), databases (SQL/NoSQL), and experience with cloud platforms and data visualization tools are typically required. Strong problem-solving, communication, and critical thinking skills help you translate complex data findings into actionable business strategies. These skills are crucial for driving data-driven decisions, improving mobile banking services, and ensuring secure, personalized customer experiences.

How does a mobile bank data scientist collaborate with product and engineering teams?

Mobile Bank Data Scientists often work closely with product managers to identify user needs and define metrics for new features, as well as with engineering teams to implement data-driven solutions. They analyze user behavior data, design experiments, and help translate insights into actionable recommendations for app improvements. Effective collaboration requires clear communication of complex data findings and a solid understanding of both business goals and technical constraints, ensuring data insights directly impact product development and user experience.

What is the difference between Mobile Bank Data Scientist vs Data Analyst in banking?

AspectMobile Bank Data ScientistData Analyst in banking
Required credentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Statistics, Economics, or related field; proficiency in data visualization and SQL
Work environmentDevelops predictive models, analyzes mobile banking data, and builds algorithms for personalized servicesInterprets data reports, creates dashboards, and supports decision-making based on banking data
Employer and industry usageUsed by mobile banking teams, fintech companies, and banks focusing on digital servicesCommon across banking institutions for operational and strategic insights

The Mobile Bank Data Scientist focuses on developing advanced analytics and machine learning models specifically for mobile banking platforms, whereas the Data Analyst in banking primarily interprets data and creates reports to support business decisions. Both roles require strong analytical skills, but the Data Scientist typically works more on predictive modeling and algorithm development, while the Data Analyst emphasizes data visualization and reporting.

Can a mobile bank data scientist work in a bank?

A mobile bank data scientist can work in a bank, where they analyze mobile banking data to improve services, detect fraud, and enhance customer experience. They typically use skills in data analysis, machine learning, and programming tools like Python or R, often working within the bank's data and technology teams.

What cities are hiring for Mobile Bank Data Scientist jobs?

Cities with the most Mobile Bank Data Scientist job openings:

What are the most commonly searched types of Bank Data Scientist jobs?

The most popular types of Bank Data Scientist jobs are:

What states have the most Mobile Bank Data Scientist jobs?

States with the most job openings for Mobile Bank Data Scientist jobs include:

Mobile Bank Data Scientist jobs near you

Data Scientist

Valley Bank

Manhattan, NY • On-site

Full-time

Re-posted 5 days ago

Valley Bank rating

7.3

Company rating: 7.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

111th of 172 rated banks

Job description

Responsibilities include, but are not limited to:
  • Interpret business needs and requirements and independently perform analysis and/or build reports and dashboards to meet requirements.
  • Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.
  • Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.
  • Interact independently with business partners on data needs and respond to data requests.
  • Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.
  • Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.

Required Skills:
  • Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
  • Working knowledge in developing reports and dashboards in Power BI or Tableau.
  • Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
  • Ability to identify key insights and present results to a business audience.
  • Preferred experience in mapping techniques, such as calculating distances and routes, as well as ability to build custom market and demographic maps.
  • Awareness of latest trends in data analytics.
  • Knowledge and experience in the banking industry and banking systems.
  • Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.
  • The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.

Required Experience:
  • Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
  • Miniumum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.
  • Experience working independently with business partners and diverse corporate functions.

Preferred Experience:
  • Master's degree in a quantitative discipline.
  • Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.

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