Fulton Financial

Data Scientist

Fulton Financial$72K — $120K *
US-AnywhereRemote in Lancaster, PA
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's Degree in applied math, statistics, computer science, engineering, or related field required.
  • 2+ years of data mining and machine learning experience required.
  • 3+ years of proficiency in Python preferred.
  • 2+ years experience with libraries like Scikit-learn, Keras, Pandas, Numpy preferred.
  • 1+ year experience in cloud computing preferred.
  • Strong understanding of various machine learning methods required.
  • Effective communication skills for varied audiences required.

Responsibilities

  • Identify and collect data from diverse sources.
  • Clean and preprocess large datasets for quality assurance.
  • Conduct exploratory data analysis to uncover patterns.
  • Collaborate with senior data scientists on model development.
  • Test and refine models for improved accuracy.
  • Evaluate model performance and monitor for issues.
  • Communicate complex findings as actionable insights.

Benefits

  • Comprehensive medical plans with prescription coverage.
  • 401(k) with employer match and Employee Stock Purchase Plan.
  • Paid time off including holidays and volunteer time.
  • Educational assistance and robust wellness programs.
  • Maternity and parental leave, and adoption assistance.
Full Job Description
Overview

This is a full-time career opportunity that can be remote.

 

The Data Scientist I will be responsible for the end-to-end process of analyzing data, from collecting and cleaning raw data to building and deploying insights, analysis, and standard predictive models, and communicating the results to stakeholders . Key responsibilities include performing exploratory data analysis, developing and refining machine learning models, and collaborating with cross-functional teams to implement data-driven solutions and provide actionable business insights and analysis. This role will support higher-level data scientists and leadership with their work on complex models by completing "upfront" data work and research required for the models.

Responsibilities
  • Identify and collect data from various sources, such as databases (on-premise and cloud), surveys, and other mediums.
  • Clean and preprocess large, raw, and structured or unstructured datasets to ensure data quality, accuracy, and usability.
  • Conduct exploratory 7upfront8 data analysis (EDA) to find patterns, trends, and anomalies, and make appropriate changes for final analysis or model development.
  • Work in close collaboration with higher-level data scientists to develop and implement algorithms and machine learning models to solve business problems and make predictions.
  • Test and refine models for accuracy and improved performance.
  • Evaluate the performance of models using relevant metrics and monitor for degradation.
  • Translate complex findings into clear, actionable insights for stakeholders.
  • Create reports, dashboards, and visualizations to communicate results effectively.
  • Collaborate with developers and engineers to deploy models into production.
  • Work with cross-functional teams to integrate data-driven solutions into business strategies.
  • Continuously seek out industry best practice and skills development to create new capabilities for data analytics and data science.
  • Ad-hoc projects & analysis assigned by management or senior leadership.

 

Additional Responsibilities
  • Project management
  • Utilize publicly available machine learning or deep learning tools such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. in pursuit of business objectives
  • Keep pace with developments in the data science field
Qualifications Education

Bachelor's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field. (Required)

Master's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field. (Required)

Experience

2 or more years data mining, machine learning algorithms, large datasets and complex relational data models. (Required)

3 or more years proficient programming with Python. (Preferred)

2 or more years Scikit-learn, Keras, Pandas, Numpy. (Preferred)

1 or more years cloud computing. (Preferred)

1 or more years financial services. (Preferred)

Knowledge, Skills, and Abilities
  • Working knowledge of various supervised and unsupervised learning methods such as logistic regression, bagging & boosting, clustering, etc. (Required)
  • Working knowledge of machine learning learning techniques, applications, and libraries. (Required)
  • Hands-on experience with AWS, GCP, or Azure. Able to utilize API endpoints. (Preferred)
  • Effective communications skills and ability to articulate recommendations to varied audiences (Required)

 

Other Duties as Assigned by Manager

This role may perform other job duties as assigned by the manager. Each employee of the Organization, regardless of position, is accountable for reading, understanding and acting on the contents of all Company-assigned and/or job related Compliance Programs, regulations and policies and procedures, as well as ensure that all Compliance Training assignments are completed by established due dates. This includes but is not limited to, understanding and identifying compliance risks impacting their department(s), ensuring compliance with applicable laws or regulations, and escalating compliance risks to the appropriate level of management.

Pay Transparency

To provide greater transparency to candidates, we share base salary ranges on all job postings regardless of state. We set standard salary ranges for our roles based on the position, function, and responsibilities, as benchmarked against similarly sized companies in our industry. Specific compensation offered will be determined based on a combination of factors including the candidates knowledge, skills, depth of work experience, and relevant licenses/credentials. The salary range may vary based on geographic location.

 

The salary range for this position is $72,500.00 - $120,800.00 annually.

Additional Compensation Components

 

This job is eligible to participate in a short-term incentive compensation plan subject to individual and company performance.

Benefits

Additionally, as part of our Total Rewards program, Fulton Bank offers a comprehensive benefits package to those who qualify. This includes medical plans with prescription drug coverage; flexible spending account or health savings account depending on the medical plan chosen; dental and vision insurance; life insurance; 401(k) program with employer match and Employee Stock Purchase Plan; paid time off programs including holiday pay and paid volunteer time; disability insurance coverage and maternity and parental leave; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about your potential eligibility for these programs, please visit Benefits & Wellness | Fulton Bank.

About Fulton Financial

Fulton Financial Corporation is a U.S. regional financial services holding company, headquartered in Lancaster, Pennsylvania. Fulton Financial Corp. has over $26 billion in assets, operates more than 200 banking offices and 300 ATMs throughout Pennsylvania, Maryland, Delaware, New Jersey and Virginia through the following subsidiary banks: Fulton Bank, N.A., Fulton Bank of New Jersey, The Columbia Bank, Lafayette Ambassador Bank, FNB Bank, N.A. and Swineford National Bank. Fulton Financial Corporation specializes in community banking services, specialty banking services, and investment management services. The company was founded in 1882 and has been publicly traded since 1983.
Learn more about Fulton Financial
Size
3,200 employees
Market Cap
$2.8 billion
Industry
Net Income
$178 million
Founded
1882
5 Year Trend
+3.7%
NASDAQ

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