Sr. Data Scientist I (2703597)

Understand and ensure that project/department milestones/goals are met and adhere to approved budgets. Oversee, design and deploy data architecture (models) and repositories. Develop data products from proof of concept to scalable solutions based on business priorities and impact, using modern tools and technologies on cloud. Implement and maintain AI and ML models to drive business insights and decision making. Collaborate with data scientists and analysts to develop and predictive and classification models, AI and ML solutions. Stay up to date with the latest advancements in AI, ML, and GenAI technologies and incorporate them into the data and analytics strategy. Enable data driven decision making: Advance access to information for decision making into wide populations of business users, by enabling them to access Data & Analytics via easy combinations of elements. Increase adoption of Data & Analytics (D&A) via self-service and data catalog. Assist in managing the flow of data from internal and external sources by leveraging both distributed and local data structures. Optimize the data pipeline platform to support scalable workloads and diverse use cases. Support mission critical applications and near real time data needs in the data platform. Understand risk potential for various configurations and options for data administration and able to communicate issues to managers and team as required. Work hand in hand with product owners, scrum masters to deliver quality work and will be able to exercise independent judgment. Work collaboratively with project managers, technical data managers, data architects, data scientists as well as business partners. Work as part of an engineering team from concept to operations, providing technical subject matter expertise for successful deployment. Position is fixed based in Framingham, MA; however, telecommuting from a home office may be permitted 50% of the time.

40 hours/week, 9:00am-5:00pm

Five (5) years of experience in data analysis. Experience must include:

Five (5) years of experience in each of the following (experience may be gained concurrently):

- Database optimization (partitioning, group and sort keys, indexes, and query optimization)

- Data cleansing and Integration testing (PyTest or Unittest)

- Analytical methods Data modeling, variable based transformation & summarization, and algorithmic development

- Experience in retail including supply chain marketing, sales and pricing

Three (3) years of experience in each of the following (experience may be gained concurrently):

- Translating business goals into concrete problem statements and machine learning algorithms including Linear and Logistic regression, support vector machines, tree-based algorithms, and clustering algorithms

Two (2) years of experience in each of the following (experience may be gained concurrently):

- Designing and building new scalable on-prem/cloud solutions using distributed frameworks

- AI and ML tools and frameworks Databricks, TensorFlow, PyTorch, and scikit-learn

- Coding experience with languages Python, PySpark, and SQL, to access, extract, manipulate and summarize data

- Data processing using: Spark, SQL Server, PostgreSql, and Hadoop/Hive

- Programming or scripting experience: Python, PySpark, and Bash

- Experience in automation and testing of data workflows

- Experience working with Airflow, GCP, and Git actions

One (1) year of experience in each of the following (experience may be gained concurrently):

- GenAI technologies and their applications in data and analytics

- Developing and deploying AI and ML models

Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Data Analytics, Management Information Systems, Business Administration, or a directly related field

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #2703597 in the subject line.

Thank you.