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Information Technology / Permanent Remote Python Data Jobs
Data Scientist II
Qualifications, Training, and Education 3+ years of experience in Data Science and GenAI driven products Proven experience with data mining, analysis methods, and model implementation Experience with statistical programming languages, preferably Python..., for data manipulation Bachelor's Degree in Quantitative Science or related field; Master's preferred Healthcare experience is preferred
Telecom Data Analyst
Qualifications Minimum 3 years of experience in data analytics or business intelligence in telecom or OSP engineering Proficient in Power BI, Excel, SharePoint, PowerApps, and Power Automate Familiarity with SQL for managing relational databases and basic Python...for data manipulation Understanding of OSP engineering principles and telecom infrastructure Strong analytical skills and a continuous improvement mindset
Data Scientist
data analysis to identify trends, patterns, and anomalies, and communicate findings to stakeholders Required Qualifications 1-3 years of experience in data analytics, business intelligence, or a data-focused role Demonstrated proficiency in SQL and Python...for data manipulation and analysis Experience in building and maintaining data dashboards using visualization tools Foundational understanding of statistics and practical experience in identifying data trends and anomalies Proven ability to work cross-functionally
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Growth Data Engineer
Ensure real-time availability of customer data across marketing channels and dashboards Develop frameworks for data reliability, governance, and incident response while collaborating cross-functionally Required Qualifications Strong experience with Python..., SQL, and data engineering systems Familiarity with full stack engineering and experience with Go, React, Node.js, and Typescript/Javascript Hands-on experience with cloud-native tools like Snowflake, Airflow, and containerization technologies Proven
Senior Data Scientist
quantitative field 5+ years of hands-on experience as a Data Scientist with a focus on advanced analytics and machine learning Experience in extracting temporal and geospatial features from large datasets Proficiency in programming languages such as Python...and big data frameworks like PySpark Track record of writing optimized, scalable, and well-documented code
Data Scientist
Key Responsibilities Utilize SQL, Python, and R for data analysis and reporting Collaborate with stakeholders to define KPIs and implement reporting solutions Apply Machine Learning/AI solutions to business problems and present findings to stakeholders
Senior Data Engineer
FastAPI, and PostgreSQL Develop and evolve AI-powered applications utilizing APIs and open-source tools Contribute to content intelligence platforms and maintain user data stores for personalized experiences Required Qualifications Experience as a Python...backend engineer or data engineer Comfortable working in cloud-native environments, ideally with FastAPI Fluent in SQL and experienced with cloud data warehouses or relational databases Interest in applying generative AI and LLM tooling to real-world
Senior Data Engineer
reports to drive business behavior Take ownership of projects by collaborating with engineers and stakeholders to design data solutions Required Qualifications Experience across the data stack including ingestion, storage, and analysis Proficiency in Python...and SQL Experience with data lake architectures and major cloud providers (AWS, GCP, Azure) Familiarity with multiple data processing and query engines (e.g., Spark, BigQuery) Strong interest in data and its business implications
Data Analytics Engineer
Key Responsibilities Develop and manage data pipelines using SQL and Python to extract and transform data Create and update data models in dbt for scalable data solutions Convert business needs into technical specifications and establish timelines
Senior Data Engineer
Qualifications Bachelor's degree in a quantitative or business field or equivalent experience 4 - 6 years of related experience in data engineering Experience with Big Data and data processing Proficiency in programming languages such as C#, Java, Python..., or SQL Knowledge of data manipulation, data mining, and cloud infrastructure
