What are the responsibilities and job description for the Data Scientist position at HStechnologies LLC?
Job Details
Job Role: Data Scientist
We are seeking a highly motivated and detail-oriented Data Scientist to join our team. The ideal candidate will have a strong background in statistics, machine learning, and data analysis, as well as experience in leveraging large datasets to derive actionable insights. You will work closely with cross-functional teams to identify opportunities, design data-driven solutions, and drive business growth.
Key Responsibilities:
Data Exploration & Analysis
- Extract, clean, and analyze large structured and unstructured datasets from multiple sources.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and relationships.
Model Development & Deployment
- Design, build, and optimize machine learning models for predictive and prescriptive analytics.
- Deploy machine learning models into production and monitor their performance.
Business Problem Solving
- Collaborate with business stakeholders to understand their needs and translate them into data-driven solutions.
- Present insights and recommendations to stakeholders in a clear and actionable manner.
Data Pipeline Development
- Work with data engineers to develop and maintain scalable data pipelines.
- Ensure data integrity and accuracy throughout the pipeline.
Reporting & Visualization
- Create dashboards and reports using visualization tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
- Communicate findings and technical information effectively to non-technical audiences.
Research & Innovation
- Stay current with the latest developments in machine learning, AI, and data science.
- Experiment with new techniques and tools to improve existing processes.
Required Qualifications
- Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience (5 years) as a Data Scientist or in a similar role.
- Strong proficiency in programming languages such as Python, R, or SQL.
- Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical methods, probability, and data modeling.
- Hands-on experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
- Familiarity with version control systems (e.g., Git).
- Excellent problem-solving and critical-thinking skills.
- Strong communication and interpersonal skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
