Job Overview
We are seeking an enthusiastic Data Scientist / Database Analytics Developer eager to leverage their expertise in a transformative role within the rapidly evolving IT landscape. This position offers a remarkable opportunity to work with state-of-the-art data analytics, machine learning, reporting, and data visualization tools, contributing to meaningful insights for business advancement.
Key Responsibilities
- Employ SQL to develop advanced and intricate queries for effective data extraction and analysis.
- Utilize Python and R for robust statistical analysis and machine learning initiatives.
- Create compelling data visualizations using BI tools, including Tableau or Power BI.
- Engage in feature engineering and prototype development to enhance data modeling capabilities.
- Conduct comprehensive data analyses employing diverse tools and methodologies.
- Deploy and sustain production models, ensuring their optimal performance.
- Develop and utilize algorithms while creating simulations for scenario testing.
- Implement advanced machine learning techniques, such as Random Forest, GLM/Regression, Boosting, and Text Mining.
- Conduct various modeling tasks, including regression, classification, anomaly detection, clustering, and decision trees.
- Work with Big Data technologies such as Hadoop or Spark and capitalize on Cloud AI platforms.
Required Skills
- Proficiency in crafting advanced and complex SQL queries.
- Strong proficiency in Python (required) and R, particularly in statistical analysis and machine learning applications.
- Familiarity with BI tools like Tableau or Power BI for data visualization.
- Experience with advanced algorithms and methodologies for data analysis.
- Knowledge of Big Data tools such as Hadoop or Spark is critical.
- Familiarity with Cloud AI platforms is advantageous.
Qualifications
- A minimum of 3 years of experience in data analytics or a related domain.
- Demonstrable experience in statistical modeling and machine learning applications.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field is required.
Career Growth Opportunities
This role presents significant potential for professional development in a dynamic field, allowing you to enhance your skills and make impactful contributions to groundbreaking projects.
Company Culture And Values
Join a forward-thinking team that champions innovation and emphasizes data-driven decision-making. Our work environment fosters collaboration, encouraging the application of advanced analytics to influence strategic business objectives.
Networking And Professional Opportunities
Engage with a vibrant professional network that values continuous learning and collaboration, offering ample opportunities for skill enhancement and career progression.
Compensation And Benefits
- Competitive salary commensurate with experience.
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan.
- Generous vacation and paid time off policies.
- Flexible working hours, with an onsite requirement of at least 1-2 days per week.
Employment Type: Full-Time