Job Overview
We are seeking a highly motivated Data Analyst / Jr Data Scientist to join our innovative analytics team. This role offers an exciting opportunity to work with large-scale data sets, develop machine learning models, and contribute to impactful data-driven solutions. The ideal candidate will have a strong foundation in data analysis, machine learning frameworks, and cloud-based platforms such as AWS. You will collaborate across departments to extract insights, optimize processes, and support strategic decision-making through advanced analytics and AI techniques.
Responsibilities
- Develop and implement machine learning models using frameworks such as TensorFlow, Spark MLlib, and other relevant tools.
- Perform data mining, cleaning, and transformation using ETL tools like Talend and scripting languages such as Python, Bash (Unix shell), and VBA.
- Design and optimize database schemas for efficient data storage and retrieval; utilize SQL for querying large datasets.
- Conduct exploratory data analysis and visualize insights using tools like Looker or similar BI platforms.
- Apply unsupervised learning techniques and natural language processing (NLP) to extract meaningful patterns from unstructured data sources.
- Collaborate on model training, validation, deployment, and monitoring in cloud environments such as AWS.
- Work with big data technologies including Hadoop, Spark, and Kafka to manage high-volume datasets.
- Integrate linked data sources for comprehensive analysis and support database design initiatives.
- Utilize statistical tools such as SAS or R for advanced analytics and predictive modeling.
- Contribute to the development of AI solutions leveraging quantum engineering principles where applicable.
- Support the deployment of models into production environments ensuring scalability and robustness.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; advanced degrees preferred.
- Proven experience with Python, R, SQL, Java, C, or similar programming languages.
- Strong understanding of machine learning algorithms including supervised and unsupervised learning techniques.
- Hands-on experience with machine learning frameworks such as TensorFlow or similar platforms.
- Familiarity with big data ecosystems including Hadoop, Spark, Kafka, and related tools.
- Knowledge of cloud services like AWS for model deployment and scalable data processing.
- Experience with ETL processes using Talend or equivalent tools.
- Proficiency in database design principles and query optimization.
- Knowledge of natural language processing (NLP), AI concepts, and linked data integration is a plus.
- Ability to analyze complex datasets to derive actionable insights through analytics tools like Looker or comparable BI software.
- Strong problem-solving skills with an emphasis on innovative thinking in quantum engineering applications is advantageous. This position provides an excellent platform for individuals passionate about leveraging cutting-edge technologies to solve real-world problems through data science and analytics innovations.
Job Type: Full-time
Pay: $110,000.00 - $150,000.00 per year
Work Location: In person
