Top Tech Jobs & Startup Jobs

Lead Data Scientist drives large analytics initiatives: designs and productionalizes advanced models (optimization, CV, recommender, NLP), mentors data scientists, manages complex projects, collaborates with business and IT, and owns reusable algorithm libraries and best practices.

The Senior Analyst, Marketing Analytics quantifies paid marketing impact across the customer journey, using data to improve marketing ROI and enhance website performance.

The Senior Analyst for the Assurance and Advisory Management Program at Home Depot conducts risk assessments, evaluates processes, leads project segments, and implements changes for continuous improvement, while developing leadership skills.

The Sr. Data Scientist leads data science initiatives to enhance profitability, efficiency, and customer experience, collaborates on projects, and mentors junior team members.

Lead local SEO content operations to drive organic growth and discoverability across Google Maps, Apple Maps, directories, and AI search. Audit and optimize local listings, enhance content, improve data pipelines, measure performance, and coordinate with product, engineering, and vendors to scale visibility for thousands of retail locations.

The Manager, Creative oversees creative delivery, leading a team to ensure brand consistency and alignment with business objectives throughout the creative development process.

Provide administrative support to Sales and Installation teams: handle onboarding (I-9s, paperwork, equipment), train part-time admin assistants, manage office communications, fleet paperwork, and support the Field Services Director with travel, scheduling, calendars, and PowerPoint presentations.

The Sr. Financial Analyst supports system implementation by liaising between business units and departments, documents processes, provides training, analyses business needs, leads projects, and manages communications across teams.

The Senior Manager of Data Science leads a team of data scientists to drive business profitability, improve efficiency, and enhance customer experience through data science solutions and collaboration.

Lead a Product COE team to define, prioritize, and deliver data-driven insights products. Drive strategy, execution, stakeholder alignment, and people leadership across product, data science, UX, and engineering to inform enterprise decision-making and measure product performance.