Top Data & Analytics Jobs

The Sr. Data Scientist on the Client Insights and Analysis Team will serve as a primary insights provider for the Wealth Management business channel. Responsibilities include working with business decision-makers to identify business issues, explore data mining opportunities, build statistical models, present analytical results, and provide actionable insights.

Craft is seeking a Data Engineer with 2+ years of experience in Data Engineering and Python. Responsibilities include building and optimizing data pipelines, analyzing datasets, designing software, and applying machine learning techniques. The role is remote with a preference for candidates in Eastern or Central time zones.

As a Senior Principal Engineer, Machine Learning at Roon, you will be responsible for building recommendation systems for a music discovery platform. This role offers the opportunity to work with experienced leaders and shape the direction of the platform. Key responsibilities include building recommendation systems, collaborating with teams, and making critical decisions in a startup-like environment.

The VP, Data Analytics will lead a centralized data analytics team, fostering collaboration across departments to establish data integrity and analytics excellence. Responsibilities include overseeing Analytics Engineering, Product Analytics, Business Intelligence, and Data Science functions, driving data-driven decision-making, and building an inclusive culture.

Barr is seeking a mid-level environmental scientist to undertake challenging and fast-paced work on environmental impact assessment, permitting, and compliance projects. Responsibilities include conducting environmental impact assessments, performing threatened and endangered species reviews, wetland delineations, communicating with regulatory agencies and clients, and reviewing environmental compliance.

The Data Architect at Primerica will be responsible for building the enterprise data strategy, focusing on data modernization efforts and cloud migration. They will provide guidance on data strategies, pipelines, and access, serving as a subject matter expert in data modeling and transformation. This remote role requires deep expertise in data management and IT.

As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.