Data Scientist
Concord IT Systems
Role: Data Scientist
Location: Jacksonville, FL/Alpharetta, GA/Berkeley Heights, NJ
Responsibilities and Duties
Location: Jacksonville, FL/Alpharetta, GA/Berkeley Heights, NJ
Responsibilities and Duties
- Collaborate with both internal and external stakeholders to identify business needs, prioritize objectives, define key performance indicators, and formulate a data-driven strategy.
- Lead data requirement workstreams with business stakeholders and clients by creating a cohesive process where detailed requirements around data exchange between various systems can be captured at the beginning of a new business initiative.
- Demonstrate leadership and initiative in gathering and analyzing information, structuring findings, and delivering presentations to stakeholders at all levels.
- Utilize machine learning algorithms and statistical techniques to extract insights and patterns from large datasets.
- Explore and experiment with new data sources, technologies, and analytical methodologies to enhance predictive modeling capabilities.
- Develop and deploy data-driven solutions that optimize business processes and improve decision-making processes.
- Collaborate with domain experts to translate business problems into analytical solutions and actionable recommendations.
- Conduct exploratory data analysis to identify trends, anomalies, and opportunities for optimization.
- Evaluate and validate model performance, ensuring accuracy, reliability, and scalability.
- Communicate complex analytical findings and technical concepts to non-technical stakeholders in a clear and concise manner.
- Adhere to project timelines to ensure timely achievement of project goals and objectives.
- Proficiency in Python for data analysis, manipulation, and modeling.
- Strong understanding of statistical concepts and methodologies for hypothesis testing, regression analysis, and predictive modeling.
- Experience with machine learning techniques, including supervised and unsupervised learning algorithms, neural networks, and ensemble methods, using frameworks such as TensorFlow, PyTorch, or scikit-learn for building and deploying machine learning models
- Familiarity with data visualization libraries such as Matplotlib, Seaborn, or ggplot2 for creating informative and visually appealing visualizations.
- Familiarity with Python data science libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling.
- Knowledge of database systems and SQL for data retrieval, manipulation, and storage.
- Understanding of big data technologies such as Hadoop, Spark, or Hive for processing and analyzing large volumes of data.
- Proficiency in data preprocessing techniques such as data cleaning, feature engineering, and dimensionality reduction.
- Experience with version control systems such as Git for managing code repositories and collaboration.
- Ability to work with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and deployment of machine learning models
- Bachelor's degree (Masters preferred) in a discipline such as Computer Science, Applied Math, Applied Sciences, Engineering, etc.
- Experience in Payments Industry would be an asset but not mandatory
- Proven analytical skills in defining business needs into product requirements
- Proven ability to conduct and/or lead multiple projects with minimal oversight
- Excellent communication and interpersonal skills
- Unquestionable personal and business ethics and integrity
Vacancy posted 3 days ago
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