Data Scientist
About The Position
Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value. We are looking for a versatile Data Scientist who can lead, sell, design, and implement modern architecture for a diverse set of customers and industries. The ideal candidate would have deep experience in designing high-value advanced analytics solutions utilizing popular analytical frameworks running on Azure, GCP, and AWS. This position will be responsible for leading customer conversations, creating and presenting project architecture, and leading delivery. Primary responsibilities include mentoring and leading other data science consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. The role can be hands-on when necessary but should have Direct delivery experience to recommend technologies, solutions, and help troubleshoot.
Requirements
- Knowledge of how to use data science techniques in operations to impact corporate financials.
- Working knowledge of DevOps process (CI/CD) applied to data science and ML ops.
- Bachelor’s or Master’s Degree in Advanced Math, Data Science, or Computer Science.
- 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to:
- Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL.
- Azure ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake
- ELT/ELT/Pipeline Design, Data Modeling, Spark, Airflow/DBT and API Integration Patterns
Nice To Haves
- LLM’s, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns
Responsibilities
- Data Science Practice Growth
- Drive growth through business development, resourcing, and quality delivery.
- Monitor business impact and value generation of analytics projects.
- Help create go-to-market strategies around advanced AI/ML Services and hardware.
- This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals.
- Create proposals and SOWs.
- Work closely with sales and other practice leaders to recommend strategies to grow our data science services.
- Manage full sales cycles, end-to-end, for high potential clients.
- Evaluate business impact and priority initiatives for our portfolio of managed analytics customers.
- Talent Leadership and Product Ownership.
- Help with planning and staffing for data science projects.
- Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations.
- Train the data science team on best practices and new technology initiatives.
- Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
