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Data Scientist

This role is for a Data Scientist with over 3 years of experience in NLP, deep learning, and E-commerce. It offers a long-term hybrid contract in Sunnyvale, CA, with a pay rate of "unknown." Key skills include Python, PySpark, and ML model development.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
520
🗓️ - Date discovered
February 21, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Sunnyvale, CA
🧠 - Skills detailed
#ML (Machine Learning) #Big Data #PySpark #Replication #Data Science #Python #Monitoring #Deep Learning #Datasets #Spark (Apache Spark) #AI (Artificial Intelligence) #NLP (Natural Language Processing)
Role description
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We are looking for a Data Scientist to work for one of our direct clients in Sunnyvale CA, USA.

It's a long term contract role with the client.

Hybrid Role: 2-3 days a week onsite (Sunnyvale, CA).

We are seeking an experienced Data scientist (+3 YOE) with expertise in NLP, deep learning and E-commerce to lead building ML-powered applications.

In this role, you will lead the development and evaluation of ML models to solve business problems and the integration into Digital Landscape product. This position plays a pivotal role in mentoring and inspiring other scientists within the team. Cross-functional collaboration with key internal and external stakeholders such as data, E-commerce and advertising teams will be essential in this position. You are expected to provide and support the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.

What you'll do:
• Drive Digital Landscape modules through application of ML capabilities and enhance with data-derived insights across the wide range of retail divisions.
• Develop advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
• Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.
• Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.
• Build and train statistical models and machine learning algorithms for replication for future projects.
• Productionize the models and make those available at scale.
• Build and maintain end to end Machine Learning pipelines.
• Communicate recommendations to business partners and influence future plans based on insights.

What you'll bring:
• Experience as technical on-hands data scientist building and deploying solutions.
• Must have high proficiency in deep learning, NLP modeling, validation and insight generation, with a proven track record of building and deploying advanced applications.
• Must have high proficiency in coding including Python and Pyspark with excellent knowledge of Data Structures.
• Exceptional problem-solving skills and a demonstrated ability to prototype and implement complex AI solutions.
• A growth mindset and a passion for staying updated with the latest developments in AI/ML space.