Junior Data Scientist

Job Description:

• We believe that our company’s success depends on the passion and creativity of our amazing employees.
• To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human.
• These set the tone for Client, along with our Rallying Cry: Let’s talk about what’s possible.
• Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning.
• All these factors combine to create an unbeatable experience for both customers and employees.
• If you like to have fun while you work, build confidence and grow your career, you’ll fit right in.
• We at Client work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes.
• We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.
• This role fits into the Finding and Narrowing portfolio of product teams.
• We play an important part of the customer experience online and on our mobile app.
• We deliver search, filtering, sorting, and list page experiences for the digital customer.
• Our area is home to designers, product managers, engineers, and applied machine learning scientists.
• Together we bring to life winning finding strategies.

Position Summary:

• As a Business Intelligence Engineer, you’ll have the opportunity to work alongside industry experts in shaping the roadmap of online shopping experiences at Client such as such, product listing page.
• You will play a key role in extracting valuable insights from diverse datasets to enhance search recall and ranking algorithms and models.
• 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 Client operates day-to-day.

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 algorithms
• 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.

**What are some preferred/nice to have skills the manager is looking for?

Preferred qualifications:**

• 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.