Data Scientist

The Fulton
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$72,500.0 - $120,800.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Big Data Cloud Computing Computer Programming Databases Data Mining Relational Databases Python (Programming Language) Logistic Regression Machine Learning
+13 more
NumPy Raw Data Tensorflow Pytorch Deep Learning Keras Pandas Scikit Learn Information Technology Data Analytics Machine Learning Operations Unsupervised Learning Web Api

Job description

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 ā€œupfrontā€ data work and research required for the models., * 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 ā€œupfrontā€ 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, 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.

Requirements

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), 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), * 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)

Benefits & conditions

3.43.4 out of 5 stars Pennsylvania Remote $72,500 - $120,800 a year - Full-time, Pulled from the full job description

  • Tuition reimbursement
  • Employee stock purchase plan
  • Prescription drug insurance
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off, 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., 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.

About the company

Our values define us and our culture inspires us to change lives for the better. Our employees are the heart and soul of our company, and every success we experience begins with them. Together we are committed to making a positive impact in our local communities. We champion a culture of continuous learning, work-life integration, and inclusion. We promote a digitally enabled work environment to continuously enhance the experience of our employees and customers.

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