Top Data & Analytics Jobs
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.
Lead a team of data engineers to develop and implement high-quality data solutions and architectures, while driving a data-driven culture within the organization. Collaborate with cross-functional stakeholders, build data pipelines and products, and manage the development of a world-class data lake, ensuring compliance with healthcare industry standards.
Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.
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As a Sr. Data Scientist at Syapse, you will be responsible for driving projects that require diving deep into clinical data, completing analyses, and developing pipelines, tools, and R packages. You will collaborate with fellow data scientists, work in close partnership with epidemiologists, and coordinate with other teams including product, engineering, informatics, alliance management, and clinical KOLs.
The Senior Data Scientist at Recharge will be responsible for providing actionable insights and creating data products for the product and growth teams. They will work on product analytics and advanced analytics projects, collaborating with data engineering and product teams to deliver value to merchants through analytics and insights.
As the Advisor, Data Science and Advance Analytics at Ciena, you will play a crucial role in transitioning the business analytics to predictive and prescriptive analytics using data science and AI/ML technologies. Responsibilities include collaborating with business teams, data acquisition and preparation, advanced analytics, model deployment, and AI governance. You will work on building products and solutions that extract business insights from data.
The Senior Data Engineer will play a crucial role in developing, improving, and maintaining data infrastructure and Business Intelligence systems using Snowflake and other modern data technologies. Responsibilities include designing data pipelines, creating reports and analytics solutions, and ensuring data quality and integrity. The ideal candidate should have expertise in SQL and Python, and strong communication and analytical skills.
Looking for a Data Engineer with 5-7 years of experience in data management, database architecture, and data modeling. Must have proficiency in MS Azure, XML, SQL, ETL, ELT, Python, and R. Remote client-facing consulting role in the United States.
The Senior Business Analyst will focus on driving revenue growth and empowering stakeholders through expert guidance and technical solutions. Responsibilities include stakeholder management, project management, product ownership, business and systems analysis, data analysis, Salesforce administration, Hubspot management, and integration and automation.
The Principal Data Scientist will lead data science projects by engineering data models, developing predictive and recommendation models, and collaborating with stakeholders to translate qualitative data into actionable insights. The role involves continuous model assessment, visualization using PowerBI, and mentoring team members while applying advanced statistical methods to large data sets.
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