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Hiring for Data Analyst in Tallahassee FL ONLY at Tallahassee, Florida, USA
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From:

Harish,

Tech Rakers

[email protected]

Reply to: [email protected]

Hello,

This is Harish from Tech Rakers. Please find the Job Description below

Role: Senior Data Analyst

Duration: 12+ months (long term)

Interview: Virtual

Location: 2415 North Monroe Street, Tallahassee, FL 32303 (Onsite)

Work Auth:

Experience: 10+ years

Department: The Department of Children and Families ("DCF")

Primary Job Duties and Tasks

The Office of Information Technology Services (OITS) is seeking a Systems Analyst to perform these duties:

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 Modelling: 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 modelling 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.

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

Best Regards

Harish A | Sr Technical Recruiter

Tech Rakers Inc

[email protected]

Tel: 337-221-0095

Keywords: rlang information technology Florida
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12:49 AM 17-Nov-23


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