200+ applicants
Valtech · 4 days ago
Data Scientist
Charlotte, AR
Full-time
Hybrid
Senior Level
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Responsibilities
Marketing Mix Modeling - Develop and implement advanced statistical models to analyze and optimize marketing performance and collaborate with marketing teams to identify key performance indicators and establish metrics for measuring marketing effectiveness.
Database Management - Design and maintain databases for efficient data storage and retrieval while ensuring data integrity, security, and availability.
Data Modeling - Create robust data models to support business requirements and analytical needs by working closely with cross-functional teams to understand data needs and design appropriate models.
Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis.
Data Quality and Cleansing - Establish and enforce data quality standards and implement processes for data cleansing and validation.
Machine Learning and Deep Learning - Apply machine learning and deep learning techniques to solve complex business problems.
Qualification
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Required
Proven experience in marketing mix modeling and database management.
Strong proficiency in SQL, Python, R, and other relevant programming languages.
Experience with big data technologies and data warehousing.
Demonstrated expertise in constructing and optimizing data pipelines.
Knowledge of cloud services and their application in data science.
Familiarity with version control systems.
Solid understanding of machine learning, deep learning, and natural language processing.
Excellent communication skills with the ability to translate complex findings into actionable insights.
Marketing Mix Modeling - Develop and implement advanced statistical models to analyze and optimize marketing performance and collaborate with marketing teams to identify key performance indicators and establish metrics for measuring marketing effectiveness.
Database Management - Design and maintain databases for efficient data storage and retrieval while ensuring data integrity, security, and availability.
Data Modeling - Create robust data models to support business requirements and analytical needs by working closely with cross-functional teams to understand data needs and design appropriate models.
Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis.
Data Quality and Cleansing - Establish and enforce data quality standards and implement processes for data cleansing and validation.
Machine Learning and Deep Learning - Apply machine learning and deep learning techniques to solve complex business problems.
Utilize languages such as SQL, Python, and R for data analysis, manipulation, and visualization
Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage.
Implement natural language processing techniques for text data analysis and understanding.
Preferred
Implement solutions using big data technologies such as Hadoop, Spark, and others to handle large-scale datasets.
Engineer features from raw data to improve model performance.
Stay abreast of the latest advancements in the field and apply them to enhance predictive modeling.
Familiarity with analytics platforms such as Adobe Analytics or Google Analytics
Ability to understand analytics and web-based language and applications.
Company
Valtech
Valtech is a digital agency that offers marketing, digital technology, and business transformation consulting.
Founded in 1993
5,001-10,000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2021-07-14Acquired· by BC Partners ($1.4M)
2001-01-12IPO· epa:LTE
Leadership Team
Mandhir Gidda
Chief Technology Officer (EMEA)
Laurent Pretet
Group CFO
Recent News
Business Wire
2024-04-29
PRNewswire Asia
2024-01-04
2023-12-19
Company data provided by crunchbase
