Full-Time Senior Data Scientist
PhData is hiring a remote Full-Time Senior Data Scientist. The career level for this job opening is Senior Manager and is accepting Latam based applicants remotely. Read complete job description before applying.
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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're committed to helping global enterprises overcome their toughest data challenges.
phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
We’re looking for a Sr. Data Scientist with strong technical acumen to design, build, and train algorithms and models to improve and streamline business processes for large enterprise customers.
Responsibilities:
- Collaborate closely with diverse stakeholders to gather business requirements and translate them into technical specifications to inform model design and implementation
- Conduct data manipulation required for model pre- and post-processing (preparing the data)
- Author articulate reports, visualizations, and presentations to communicate your process and results to stakeholders with varying levels of technical understanding
- Engage with interdisciplinary development teams, such as data engineers and machine learning engineers, to leverage MLOPs frameworks to support the longevity of models (work across functional teams)
- Proactively and independently 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 by actively contributing to open source projects, sharing insights through engaging talks, and advancing global data science practices
Qualifications:
- 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
- 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 (Preferred)
- 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