Data Scientist Freelancer

What we are looking for:

Do you have a strong data science background with experience or interest in applying this background to digital marketing, web analytics, and CDP space.

This role will sit in Valtech’s Data & Analytics Americas discipline reporting to the Executive Data Director. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. The ideal candidate will play a crucial role in driving data-driven decision-making processes, with a focus on marketing mix modeling, database management, and advanced analytics. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.

Location: Remote (Flexible Work Hours, 37.5-40 hours per week)

Job Overview:

• 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.
  
  

What you should have:

• 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.
  
  

Tools and Technologies

• 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.
  
  

Nice To Haves

• 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.
  
  

Valtech: The Experience Innovation Company

Technology has remade the way we live, work, and connect. Every day new products, services, and features are raising our expectations in every aspect of our lives. It’s become common for whole new categories and consumer behaviors to emerge and disrupt legacy businesses. And as it becomes easier to digitize, launch, and evolve, the rush to leap ahead is quickly becoming a race to parity. Now that technology has once again leveled the playing field, we believe the next frontier and greater value lives in the experience. And that means the world needs a new kind of company to unlock that value.

We are the Experience Innovation Company. We know that experience now touches every level of your enterprise. It may necessitate fundamental changes in organizational design or require complex integration throughout your tech stack. It may start by catalyzing data to create emotional moments of connection with your customers, inspiring loyalty and brand love. Or it may come to life by getting innovation initiatives out of presentation decks and into the hands of your customers. No matter where experience innovation begins in your company, we are organized to help clients break through silos, redefine success, and deliver exponential value.

Our values give our work purpose. We care deeply about the transformative impact technology can have on the world and honor our duty to approach it responsibly. We share our diverse identities, knowledge, expertise, and skills in an open dialog rooted in respect and inclusivity. And we dare to pursue uncommon solutions and simplify the complex.

Share: As a global company with diverse talent, we value and embrace open dialogue. We share our expertise, wisdom and full attention with our clients and colleagues

Dare: Entrepreneurship and curiosity is in our DNA. We thrive in ambiguity and simplifying the complex. We dare to bring together, connect, and combine the uncommon.

Care: Technology has had a transformative impact on how we experience the world around us. We want to make the world a better place through the work we do.

Our unique culture allows us to orchestrate and connect teams to unlock powerful insights, value, and innovation at the intersection of diverse expertise and domains.

We believe diversity is essential to creating the best digital products & experiences. Valtech is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. We're proud to be an equal-opportunity employer committed to diversity and inclusion. We do not discriminate on the basis of race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status, or any other legally protected status.

Accommodations are available on request for all aspects of the selection process.

So, if you are looking for your next challenge? Then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working with composable Best-of-Breed technology platforms within the large-scale digital experience and e-commerce business area.