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Masters / Information Technology Remote Python Data Jobs
Senior Machine Learning Engineer
solutions Mentor junior engineers and assist in their professional development Required Qualifications Minimum of five years of experience in applied machine learning or related fields Strong coding experience in languages such as Java, C#, or Python...Experience with big data technologies like Spark and Hadoop Bachelor's Degree in Computer Science, Electrical Engineering, or a related field; Master's Degree preferred Experience with Docker, Kubernetes, and modern software development practices
Lead Data Scientist
of industry experience in data science and machine learning in the advertising domain Deep experience in digital advertising systems and measurement sciences Advanced knowledge in predictive models and machine learning algorithms Experience using Python...and Spark for big data processing and engineering
Data Engineer
integrity, lineage, and governance across systems Required Qualifications Bachelor's or Master's degree in Computer Science, Finance, or related field 5-7 years of experience in data engineering, preferably in financial services Strong proficiency in Python..., SQL, and data modeling Hands-on experience with cloud platforms (AWS, Azure, or GCP) Experience with Kafka, Spark, Airflow, or similar tools for data orchestration
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Data Science Manager
governance Required Qualifications Bachelor's or Master's degree in Data Science, Finance, Economics, Statistics, or a related field 5+ years of experience in data analytics, with at least 2 years in a managerial role Strong proficiency in SQL, Python..., and data visualization tools Experience with financial and operational data Familiarity with cloud data platforms and machine learning techniques
Maine Licensed Data Scientist
., Python, R) Experience with data visualization tools (e.g., Tableau, Power BI, ArcGIS)
Senior Data Scientist
measure product performance Required Qualifications Master's degree in a relevant quantitative field or equivalent industry experience 2-4 years of experience as a data scientist supporting product development Expertise in SQL Proficiency in R or Python...for data analysis Experience in ML model development and A/B testing analysis
Senior Business Intelligence Analyst
opportunities for marketing improvement Conduct quantitative and qualitative analyses to generate actionable insights Required Qualifications 5+ years of experience in analytics or strategy roles Strong analytical skills with experience in SQL, Python..., and data visualization tools Experience with relational databases and conducting analyses on large datasets Bachelor's and/or Master's degree in a quantitative field; MBA or MSBA preferred Familiarity with core marketing concepts and best practices
Senior Learning Analyst
internal teams and partners to apply data insights to curriculum design and instructional methodologies Required Qualifications 4+ years of relevant experience in a data analytics role, preferably in online education 2+ years experience using SQL or Python...for data querying and cleaning Proficiency in statistical software (e.g., R, SAS, SPSS) 2+ years experience with data visualization tools (e.g., Tableau, Power BI) A Bachelor's or Master's degree in a field focusing on data analytics related to human
Data Analyst
user behavior and product engagement Translate complex data into actionable insights through visualizations and storytelling Required Qualifications Proficiency in SQL, including advanced features like window functions and CTEs Experience using Python...for data analysis, modeling, or automation Bachelor's degree in Computer Science, Mathematics, Statistics, or a related analytical field Experience building dashboards and visualizations in a BI Tool (e.g.
Python Programmer
lifecycle Required Qualifications Master's degree in Computer Science, Data Science, Bioinformatics, Engineering, or a related technical field 1-3 years of hands-on Python programming experience (academic, internship, or professional) Familiarity with Python...data libraries such as pandas and NumPy Understanding of data transformation and processing concepts Knowledge of CDISC data standards and statistical programming workflows is a plus
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