Data Scientist II

Valtech; À distance; EUR 117 000 - 125 000; Plein temps

Résumé du poste

A tech consultancy company is seeking a Data Scientist II to leverage machine learning for customer insights and engagement. This role involves data mining and optimization strategies, requiring a Master’s degree and a strong background in Python, SQL, and advanced data techniques. The position offers full-time telecommuting options with a competitive salary range of $136,500 to $145,000 annually. Opportunities for significant impact on marketing strategies and inventory management are key aspects of this role.

Qualifications

• Master’s degree in relevant field required.
• 3+ years of experience as a Data Scientist.
• Strong proficiency in Python and SQL.

Responsabilités

• Data mining and machine learning to optimize engagement.
• Customer segmentation using machine learning algorithms.
• Conduct regression and time-series analyses.

Connaissances

Machine learning

Python

SQL

Data analysis

Regression analysis

Clustering methodologies

Data visualization

Problem solving

Formation

Master’s degree in Data Science or related field

Outils

Power BI

ETL

Git

Amazon AWS

Microsoft Azure

Google Cloud Platform

Apache Spark

Snowflake Data Warehouse

Description du poste

Job Title

Data Scientist II (Chicago, IL) – 100% telecommute with option to work in Chicago office.

Responsibilities

• Data mining and machine learning to optimize engagement.
• Customer segmentation using machine learning algorithms and clustering methodologies (K‑means, hierarchical clustering, DBSCAN).
• Mix modeling and performance optimization: conduct regression and time‑series analyses and implement close‑loop analytics modeling.
• Data analysis: conduct in‑depth historical data analysis, uncover complex patterns and seasonal trends, generate actionable insights on customer demand, develop strategic recommendations for inventory management and optimization strategies.
• Leverage advanced data patterns and machine learning techniques to help the customer create marketing strategies: analyze customer journeys across digital and offline channels, understand complex customer preference patterns, improve campaign performance metrics and develop targeted recommendations.

Qualifications

• Master’s degree (or foreign equivalent) in Data Science, Data Analytics, Artificial Intelligence, Computer Science, Information Systems, or related STEM discipline.
• Three (3) years of experience as a Data Scientist or related occupation, developing strategic roadmaps using advanced machine learning techniques for advanced technological implementations.
• Two (2) years of experience writing Python and SQL code for large datasets.
• Two (2) years of experience with regressions, classifications, clustering, deep learning, and natural language processing.
• Two (2) years of experience using Power BI and Locker to convert raw data.
• Two (2) years of experience with Data Pipeline Development & ETL.
• Two (2) years of experience leveraging cloud platforms, data warehousing, big data and cloud services: Amazon AWS, Microsoft Azure, Google Cloud Platform, Apache Spark and Snowflake Data Warehouse.
• Two (2) years of experience with Version Control using Git.
• Two (2) years of experience with advanced analytical and problem solving of complex datasets for making data‑driven decisions and strategies.

Salary

$136,500 to $145,000 per year. Full‑time position (40 hours/week).