Data Scientist
Artech Information Systems LLC
Job Title: Sr. Data Scientist
Location: Birmingham, AL
Duration: 3+ years A Data Scientist with 10 to 15 years of experience plays a pivotal role in an organization, harnessing advanced analytics, machine learning, and data-driven insights to guide critical business decisions. This role requires deep expertise in data science, a proven track record of successfully implementing data solutions, and strong leadership capabilities. Key Responsibilities:
Qualifications:
Location: Birmingham, AL
Duration: 3+ years A Data Scientist with 10 to 15 years of experience plays a pivotal role in an organization, harnessing advanced analytics, machine learning, and data-driven insights to guide critical business decisions. This role requires deep expertise in data science, a proven track record of successfully implementing data solutions, and strong leadership capabilities. Key Responsibilities:
- Data Analysis: Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques.
- Predictive Modeling: Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes.
- Data Visualization: Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations.
- Feature Engineering : Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models.
- Statistical Validation: Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions. Algorithm Development: Lead the development of machine learning algorithms and their optimization to solve complex business problems.
- Data Integration: Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses.
- Model Deployment: Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications.
- Experimentation & A/B Testing: Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements.
- Data Ethics: Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives.
- Cross-functional Collaboration: Collaborate closely with cross-functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
- Mentorship: Provide mentorship and guidance to junior data scientists, fostering their growth and development.
- Strategic Leadership: Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long-term data strategy.
- Innovation: Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices.
Qualifications:
- Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering).
- 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data-driven decision-making.
- Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Expert knowledge of machine learning algorithms and their applications.
- Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
- Profound understanding of databases and data manipulation using SQL.
- Outstanding problem- solving and critical thinking abilities. Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders.
- Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
- Expertise in data ethics, privacy, and compliance considerations
Vacancy posted 1 day ago
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