Top Remote Data & Analytics Jobs
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
The Revenue Operations Analyst at Rinsed will maintain regular reporting on revenue metrics, analyze data to create dashboards, oversee CRM administration, streamline the deal process, collaborate cross-functionally, and develop training on new system processes. The role requires strong organizational and analytical skills, alongside experience in relevant revenue tools.
The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.
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As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
As a Senior Data Scientist at Haus, you will build and deploy models, drive experimentation, and lead a team while collaborating with cross-functional teams to deliver meaningful insights for enterprise clients. You will enhance the GeoLift model and ensure high-quality results through rigorous statistical evaluations and innovative tools.
As an NFL Data Scientist, you will develop and improve machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, performance analysis, documentation, and collaboration with data engineering and product teams.
The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
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