Data Scientist

We're Hiring: Data Scientist - AI & Cloud Focus

At Neural Network®, we're pioneering AI, cloud computing, data intelligence, and robotics to solve complex business challenges across 15+ industries in over 12 countries. Join us to unlock latent value in data, enable intelligent scaling, and drive transformative results for clients in fintech, healthcare, retail, oil & gas, and more.

About the Role

As a Data Scientist at Neural Network, you'll collaborate with cross-functional teams to build AI-powered solutions, leveraging cloud-native architectures and real-time data platforms. Your work will focus on turning vast datasets into intelligent insights that automate processes, enhance decision-making, and integrate with robotics for next-gen efficiency.

Key Responsibilities

• Collect, process, clean, and analyze large structured and unstructured datasets from diverse sources, including cloud environments and real-time streams.
• Develop and deploy machine learning models, neural networks, and generative AI frameworks to automate tasks, predict outcomes, and drive innovations in areas like robotics integration and process optimization.
• Perform exploratory data analysis to uncover trends, anomalies, and opportunities, with a focus on extracting value for business agility and productivity.
• Partner with stakeholders in consulting, cloud transformation, and AI teams to translate client needs into data-driven strategies, ensuring secure, compliant, and scalable solutions.
• Build and maintain data platforms for real-time intelligence, utilizing tools like AWS, Microsoft Azure, Google Cloud, and Snowflake to enable faster decisions and prevent issues.
• Create visualizations and data products to communicate insights to non-technical audiences, supporting projects that reduce latency, increase output, or minimize stock-outs.
• Implement MLOps practices to deploy models into production, monitor performance, and iterate on AI solutions in agile cycles (every 3-6 months).
• Stay ahead of advancements in AI, ML, cloud computing, data engineering, and robotics, contributing to our Continuous Innovation Lab for new frameworks and technologies.
• Ensure ethical AI practices, data privacy, and compliance in all analyses, aligning with our mission to empower human-machine collaboration.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, AI, Machine Learning, Statistics, or a related field (PhD preferred for advanced neural network expertise).
• 3+ years of experience in data science, with proven work in AI/ML, cloud data platforms, or robotics automation.
• Proficiency in Python/R, SQL, ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), big data tools (e.g., Spark, Hadoop), and cloud platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
• Strong knowledge of statistical modeling, neural networks, generative AI, and real-time analytics.
• Experience with data visualization tools (e.g., Tableau, Power BI) and integrating AI with physical systems (robotics a plus).
• Excellent problem-solving, critical thinking, and communication skills, with a track record of delivering ROI in under six months.
• Familiarity with agile methodologies and multi-cloud environments is highly desirable.

If you're excited about building a future where AI and data accelerate innovation across global industries, apply now or DM for details!

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