Data Science - Architect
Remote - US
Full Time Senior-level / Expert USD 108K - 173K
3Cloud
Make the cloud work for you with our Azure consulting services. With a 100% focus on Azure, our experts deliver to you the ultimate Azure experience.Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you!
At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other.
We are looking for a Data Scientist - Architect who will be responsible for delivering high quality machine learning solutions using Microsoft’s Azure suite of tools. You will need to have intermediate to advanced knowledge of Python, Scala, and/or Apache Spark. You need to understand how to explore, preprocess, join, and ingest data. The ideal candidate will have experience in customer facing roles and will have had success leading technical and economic value discussions with senior client technology executives that drive key decisions and ML implementation. You’ll be supported by a world class team working on world class problems.
Responsibilities:
- Design, develop, test, deploy, and support high performing, reliable and scalable machine learning solutions
- Clearly communicate technical details to technical and management teammates
- Assist business development team with pre-sales activities and RFPs (Request for Proposal)
- Elevate the teams’ talent and quality through active coaching and management
- Manage prioritization ensuring the team is working on top priorities and maximizing value
- Conduct customer discovery meetings to determine requirements
- Work with the sales team to support sales efforts from a technical perspective
- Lead creation of collateral including reference implementations and best practices, and training of sellers and partners in your area of specialization
- Identify, validate, and grow opportunities to accelerate Azure consumption in high potential customer accounts, in partnership with the sales team, by driving solution architecture for Microsoft solutions.
Requirements:
- Bachelor’s Degree desired in Computer Science, Operations Research, Information Technology, Applied Math, Economics, Statistics or related quantitative field
- Minimum of 5 years of experience with data science, or machine learning work
- Minimum of 5 years of experience with Azure technologies, and previous Consulting experience
- Knowledge of Databricks development
- Application engineer level proficiency including in at least two of the following: Python, Spark, Scala
- Ability to develop utilizing the following technologies:
- Data Movement (Apache Spark and Azure Data Factory or Azure Synapse)
- Azure Storage Technologies (Data Lake, Blob Storage)
- Azure Machine Learning
- Azure Databricks
- Expertise in Spark Data Frames API (Application Programming Interfaces) and architecture to ingest and manipulate data, including exploring, preprocessing, joining, filtering, dropping sorting, partitioning, and renaming/manipulating columns in the dataset
- Eagerness to contribute in a team-oriented environment
- Excellent communication (written and oral) and interpersonal skills for both technical and non-technical teams
- Passionate about learning new technologies
- Analytical approach to problem-solving; ability to use technology to solve business problems
- Ability to work in a fast-paced environment
- Experience leading technical project teams
Additional Preferred Experience:
- Experience in predictive, prescriptive, and descriptive settings using data science tools and technologies
- Understanding and experience with a variety of model families, including supervised vs unsupervised, regression vs classification, clustering, and cross-validation
- Microsoft and Databricks certifications are a plus
This Job Posting will expire on Monday, October 21, 2024.
3Cloud Total Rewards Highlights Include:
- Flexible work location with a virtual first approach to work!
- 401(K) with match up to 50% of your 6% contributions of eligible pay
- Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
- Two medical plan options to allow you the choice to elect what works best for you!
- Option for vision and dental coverage
- 100% employer paid coverage for life and disability insurance
- Paid leave for birth parents and non-birth parents
- Option for Healthcare FSA, HSA, and Dependent Care FSA
- $67.00 monthly tech and home office allowance
- Utilization and/or discretionary bonus eligibility based on role
- Employee Assistance Program to help with everyday challenges
3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. Please keep in mind that the range mentioned above includes the full base salary range for the role. It is not typical for offers to be made at or near the top of the range.
Base Salary Range$108,000—$173,100 USDDon’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.
At this time, we cannot sponsor applicants for work visas.
Tags: APIs Architecture Azure Classification Clustering Computer Science Consulting Databricks Economics Machine Learning Mathematics Python Research Scala Spark Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Insurance Medical leave Salary bonus Startup environment Team events
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