Remote Data Jobs • Python

The analyst role with focus on data extraction configures crawlers using our toolchain to extract data from websites. The data is handed over to our data platform for processing using Python configuration scripts. The role has a significant impact on customer success, as it is ensuring the freshness and availability of data for our customers. In addition, the role will work on classic analytical tasks, like ad-hoc reports and visual reporting.

As our ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems, working on impactful product features, collaborating with engineers and analysts, and having the freedom to experiment and learn to unlock massive value for the customers. You will develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.

The Data Scientist in this role will be primarily embedded within Wealthfront’s Investing area to confidently grow, preserve, and manage wealth by making the most effective investing strategies more convenient, accessible, and affordable. Responsibilities include formulating project plans, interpreting statistical results, and collaborating with stakeholders. The ideal candidate will enhance overall Data Science team execution through hands-on help, design feedback and peer review.

We're looking for a talented Data Scientist with expert Python skills and experience in processing large amounts of data to join the team. You'll be a key player in designing, building, and making their main data pipelines and ML systems (that power our advanced analytics and machine learning models) able to handle more. You'll work closely with data scientists and engineers to create strong, efficient, and scalable systems.

Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources to extract valuable insights. Own end-to-end data analytics processes including extraction, processing, analysis, reporting, modeling, deployment, and visualization. Apply predictive analytics, machine learning, and AI techniques to create innovative solutions that drive business value.

The Director of Business Intelligence (BI) will lead the development and execution of the company’s BI strategy, driving data-driven decision-making across all business units. This role will oversee the design, implementation, and optimization of BI systems, processes, and teams to deliver actionable insights that align with organizational goals. The Director will collaborate with cross-functional leadership to enhance strategic planning, operational efficiency, and market competitiveness.

We’re looking for an experienced Snowflake Data Architect to lead the strategic development of our enterprise data platform. This role will guide the evolution of our Snowflake environment by setting architectural standards, optimizing cost and performance, and partnering across teams to enable scalable analytics.

Create cutting-edge models and solutions to enhance and streamline marketing decision-making processes, seamlessly integrating them into our market-leading technology platform. Assess the effectiveness of our marketing initiatives by employing advanced techniques such as attribution analysis, incrementality tests, and media mix modeling. Leverage expertise in handling extensive data sets to conduct comprehensive analyses from start to finish, including data preparation, modelling training, and thorough evaluation.

This role involves applying a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques to make business value and data insights visible. You will be responsible for the strategy, implementation, productionization and articulation of business impact. This role collaborates with cross-functional teams and communicate findings to both technical and non-technical stakeholders.

As Senior Manager, Data Science at Rockerbox, you will lead and scale our data science team while also contributing as a hands-on practitioner. This role balances leadership responsibilities with direct execution in feature development for testing, MMM, and multi-touch attribution (MTA). You will drive the strategic evolution of our data science initiatives, mentor a team, and ensure that our methodologies remain cutting-edge.