| Jr. Business Intelligence Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Vijaykant Tyagi, Largeton [email protected] Reply to: [email protected] Position: Jr. Business Intelligence Engineer Client: Best Buy Location: Preference is local to Seattle or Minneapolis; possible other candidate locations that will be considered are Atlanta and Boston. This is a remote role, with occasional onsite collaboration sessions. Length of contract: 6+ months (likely 1 year+) Rate: $45/hr C2C max No H1B/CPT Video Job Description: This individual will play a key role in extracting valuable insights from diverse datasets to enhance search recall and ranking algorithms and models for this large ecommerce, online and big box retailer. This position involves working closely with Applied Machine Learning (AML) and product teams to translate data-driven findings into actionable recommendations. Your work will unleash the next generation of customer experiences and transform the way our client operates day-to-day. Position Summary/Job Description: As a Business Intelligence Engineer, youll have the opportunity to work alongside industry experts in shaping the roadmap of online shopping experiences such as our Client's product listing page. This team plays an important part of the customer experience online and on their mobile app. They deliver search, filtering, sorting, and list page experiences for their digital customers. This team is home to designers, product managers, engineers, and applied machine learning scientists. Together they bring to life winning, finding strategies. Seeking candidates who will enjoy: Employ advanced data mining techniques to extract meaningful insights from large datasets stored in GCP and other repositories. Analyze search-related data to identify patterns, trends, and opportunities for optimization. Collaborate with the engineering team to enhance search recall and ranking algorithms. Propose modifications and improvements based on data-driven insights. Develop and implement metrics to assess the effectiveness of search algorithms and models. Conduct regular performance evaluations and provide recommendations for improvement. Work closely with AML and product teams to understand business goals and objectives. Collaborate on the integration of data insights into product development and AML strategies. Effectively communicate complex findings and recommendations to both technical and non-technical stakeholders. Create comprehensive reports and presentations to convey insights and proposed optimizations. Stay abreast of industry trends, emerging technologies, and advancements in data science and search algorithms. Implement best practices and incorporate new methodologies into the data mining process. Skills Overview: Minimum requirements: Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience 3 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithm 3 years of experience in writing production quality software in Python; knowledge of Unit testing in Python, Mocking, Pytest. Familiarity with cloud platforms, especially GCP. Excellent problem-solving skills and a keen analytical mindset. Effective communication and collaboration skills with the ability to work across diverse teams. Preferred/nice to have skills: Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related). 4+ years of experience in using Python and SQL in production quality projects. Ability to influence stakeholders and contribute to the team roadmap with the goal of increasing adoption of ML in the enterprise. Prior experience in eCommerce and collaborating with product teams. Vijay Tyagi Talent Acquisition Specialist - [email protected] - www.linkedin.com/in/vijay-tyagi-389849240 LARGETON INC. 13800 Coppermine Rd, Herndon, VA 20171 Keywords: machine learning procedural language Virginia |
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| Thu Feb 01 00:18:00 UTC 2024 |