E-Solutions
E-Solutions is hiring: Systems Analyst - Data Scientist in Tallahassee
E-Solutions, Tallahassee, FL, US
Primary Job Duties and Tasks 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: Discover 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.
- 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