Data Scientist Salary at Evam BETA

Job Type Full-time Description Job Summary We are looking for a Data Scientist with a strong background in data engineering and a solid understanding of data science principles. The ideal candidate will play a critical role in designing, developing, and maintaining our data infrastructure, while also adding expertise to enable advanced analytics and machine learning initiatives. This position is open based in Redmond, WA, but we will consider remote candidates in the following states: CA, CO, FL, GA, MO, NY, OR, SC, TN, TX, WA. Job Responsibilities Data Pipeline Development Design, implement, and maintain scalable data pipelines to collect, process, and store data from various sources. Ensure data quality, accuracy, and consistency throughout the pipeline. Data Modeling Design and implement data models for predictive analytics, machine learning, and data exploration. Optimize data structures and storage to support efficient querying and analysis. Data Integration Work closely with cros

Here at UKG, our purpose is people™. Our HR, payroll, and workforce management solutions help organizations unlock happier outcomes for all. And our U Krewers, who build those solutions and support our business, are talented, collaborative, and innovative problem-solvers. We strive to create a culture of belonging and an employee experience that empowers our people - both at work and at home. Our benefits show that we care about the whole you, from adoption and surrogacy assistance to tuition reimbursement and wellness programs. Our employee resource groups provide a welcoming place to land, learn, and connect with those who share your passions and interests. What are you waiting for? Learn more at www.ukg.com/careers #WeAreUKG At UKG we are at the forefront of innovation leading the next wave of disruption in the Human Capital Management industry. With our unparalleled dataset, that gives the most complete view into our customers most valuable assetstheir human assets, we are building

Statsig is seeking a talented and motivated individual to join our team as a Customer Data Scientist. As a Customer Data Scientist, your primary responsibility will be to make prospective and existing customers succeed with using Statsig. This role will require an ability to work closely with customers using an empathetic approach, while representing constructive feedback and collaborating with the product and data team on building new features. Responsibilities Collaborate with customers to understand their data needs and provide solutions to their challenges. This will include teams who have been doing experimentation expertly for years to individuals who are learning the basics. In general, guide customers in utilizing Statsig's tech stack and UI to create, launch, and interpret experiments. Drive prospect customer's success with Statsig as part of our Sales process. In particular, be a partner for our prospective and current customer's Data teams, showing how our product solves the

Since 2010 and almost 14 years SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Post Covid the tech Layoffs have been massive-In 2022 there were 165,269 tech layoffs, In 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi ) -Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The Job market is Hyper Competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get Interviews and eventually a Job Offer. Survival of the Fittest is the only way to get a tech Job in this jo

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working

Design, develop, and implement Gen AI models for various applications, focusing on tasks like data augmentation, anomaly detection, and content generation. Collaborate with engineers to integrate Gen AI models into existing systems and workflows utilizing AKS, Cosmos DB, and Synapse Analytics. Participate in the entire machine learning pipeline, including data preparation, feature engineering, model training, evaluation, and deployment. Monitor and evaluate the performance of Gen AI models, identifying opportunities for improvement and optimization. Stay up-to-date on the latest advancements in Gen AI and related fields, actively learning and applying new techniques. Participate in the development and implementation of best practices for responsible AI development and deployment. Collaborate effectively with cross-functional teams, including engineers, product managers, and data analysts, to translate business needs into technical solutions. Communicate complex technical concepts clear

STRONG PYTHON and LLM experience Responsibilities: Design, develop, and implement Gen AI models for various applications, focusing on tasks like data augmentation, anomaly detection, and content generation. Collaborate with engineers to integrate Gen AI models into existing systems and workflows utilizing AKS, Cosmos DB, and Synapse Analytics. Participate in the entire machine learning pipeline, including data preparation, feature engineering, model training, evaluation, and deployment. Monitor and evaluate the performance of Gen AI models, identifying opportunities for improvement and optimization. Stay up-to-date on the latest advancements in Gen AI and related fields, actively learning and applying new techniques. Participate in the development and implementation of best practices for responsible AI development and deployment. Collaborate effectively with cross-functional teams, including engineers, product managers, and data analysts, to translate business needs into technical solu

Magnify is the next-generation automation platform for the post-sales experience we grow revenue and reduce churn for software companies without adding headcount. Magnify identifies and orchestrates the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Magnify uses machine learning along with a sophisticated orchestration engine to transform that experience to drive adoption, retention, and expansion for our customers. The opportunity is massive and untapped by current solutions. Magnify's customers are enterprise software companies, usually used by the Chief Customer Officers and their organizations and/or the Growth Marketing teams. Magnify is a fast-moving startup backed by top-tier investors including Madrona and Decibel, with a veteran leadership team. The role In this role, you will be responsible for: * Working with a variety of data sources provided by Magnify's customers and leveraging