Senior Data Scientist

February 21

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phData

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phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

Spark • Impala • Kafka • Kudu • Scala

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $2.5M Seed Round on 2018-03

📋 Description

• Join phData, a dynamic and innovative leader in the modern data stack. • We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. • We believe in a culture of technological curiosity, ownership, and trust. • Unlock future opportunities at phData, where innovation meets data excellence. • Collaborate closely with diverse stakeholders to gather business requirements and translate them into technical specifications to inform model design and implementation. • Proactively engage with customers and take ownership for building models and implementing data science best practices unique to each project. • Drive thought leadership in the data science community through contributions to open source projects and engaging talks. • phData celebrates diversity and is committed to creating an inclusive environment for all employees.

🎯 Requirements

• Advanced degree or evidence of exceptional ability in engineering, computer science, mathematics, physics, chemistry, or operations research • 3-5+ years hands-on experience in building models and developing algorithms for real-world applications and data-driven optimizations • Depth of knowledge in advanced mathematics, machine learning, and statistics • Strong computer science fundamentals: data structures, algorithms, distributed systems • Mastery of one or more data analysis languages such as R, Python, PySpark, and SQL • Experience with data science tools including Python scripting, NumPy, SciPy, matplotlib, scikit-learn, Jupyter notebooks, bash scripting • Experience with XGBoost, Facebook Prophet, Random Forests, and other major data science algorithms and packages • Preferred - familiarity developing on cloud platforms such as AWS, Azure, and Databricks • Preferred - experience working with Generative AI and Large Language Models, such as RAG, Dall-E, Bard/Gemini, ChatGPT • Exemplary verbal and written communication skills, ability to relate technical results and business outcomes to technical & non-technical audiences. Previous consulting experience is preferred. • Able to work under pressure while managing competing demands and tight deadlines • Well organized with meticulous attention to detail