Systems Analyst

1 month ago


Tallahassee, United States Crescens Full time
Job title: Systems Analyst
Location: Tallahassee, FL [Hybrid]
Duration: 12+ months
Type: contract

** Position can be remote, but requires candidate to be onsite for meetings and presentations on select days throughout the month/year at DCF Headquarters in Tallahassee; **

Job Description :
The activities this candidate will be tasked with include, but are not limited to the following:
  • Work with stakeholders and development team to determine project scope and vision, gather and prioritize collected requirements
  • Provide technical support in developing, monitoring, and maintaining a high volume of complex data processes.
  • Data Collection: Collect, acquire, and gather data from various sources, which may include databases, APIs, web scraping, and more.
  • Data Cleaning: Clean, preprocess, and transform data to remove inconsistencies, missing values, and errors, ensuring that it is suitable for analysis.
  • Data Exploration: Perform exploratory data analysis (EDA) to gain a deeper understanding of the data, identify patterns, and detect anomalies.
  • Data Modeling: Develop and implement machine learning and statistical models to solve specific business problems or make predictions.
  • Model Evaluation: Assess the performance of models using appropriate evaluation metrics and techniques, such as cross-validation and hyperparameter tuning.
  • Data Interpretation: Interpret the results of data analysis and modeling to provide actionable insights and recommendations to stakeholders.
  • Machine Learning: Apply various machine learning techniques, such as regression, classification, clustering, and deep learning, depending on the problem at hand.
  • Data Mining: Client patterns and trends within large datasets to uncover valuable information.
  • Maintain procedures manuals and system documentation.
  • Research software solutions to support recommendations, analyzing current and future technology trends.

Required Skills:
  • Bachelor's or Master's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience. (Required).
  • Programming Languages: 4 + years of experience in languages such as Python and R, for data analysis and modeling.
  • Statistics and Mathematics: 2 + years of experience in statistical concepts, probability, linear algebra, and calculus, which are fundamental to data analysis and modeling.
  • Machine Learning: 2 + years of experience in machine learning algorithms, supervised and unsupervised learning techniques, feature selection, and model evaluation.
  • Data Manipulation: Experience in data manipulation tools and libraries like pandas, SQL, and data preprocessing techniques
  • Model Evaluation: Expertise in evaluating machine learning models, conducting cross-validation, and hyperparameter tuning.
  • A/B Testing: Design and conduct experiments to measure the impact of changes and make data-driven recommendations.
  • Big Data Technologies: Familiarity with big data platforms and technologies such as Hadoop, Spark, and distributed computing.
  • Data Ethics: Knowledge of ethical considerations in data science, including privacy, bias, fairness, and regulatory compliance.
  • Ability to effectively prioritize and execute tasks in a fast-paced, high velocity, environment; ability to stay focused on responsibilities, meet deadlines and manage competing priorities under pressure.
  • Deep understanding of Agile methodologies and tools like Azure DevOps
  • Ability to understand customer requirements and translate these into solution specifications and system designs.
  • Ability to drive effective meetings: workshops, design, and problem-solving sessions.
  • Ability to present ideas in business-friendly and user-friendly language; demonstrated aptitude for working with, supporting, and communicating with users and customers.
  • Excellent written and verbal communication skills, demonstrated initiative, strong work ethic, attention to detail, and a desire to succeed

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