Data Scientist Salary at Aienterprise Inc BETA

Data Scientist Department: Data and AI Employment Type: Full Time Location: Dallas, Texas Description We are currently looking for a Data Scientist who will be assisting our clients in designing solutions in MS Azure. This role is 100% remote or for someone local to Dallas/Richardson area, this could be a hybrid role too! Key Responsibilities As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Skills, Knowledge and Expertise Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions. Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. Strong programming skills in Python or PySpark.

Blue Yonder Job Title: Chief Data Scientist Location: US - Remote Summary: Blue Yonder is a leading provider of AI-driven supply chain management solutions. We empower businesses to optimize their operations through cutting-edge technology and data-driven insights. We are looking for a dynamic and experienced Chief Data Scientist (CDS) to join our leadership team. In this senior role, you will be responsible for shaping and overseeing our data science strategy, aligning it with business objectives, and driving data-driven decision-making across the organization. You will work closely with both internal teams and customers to articulate our data science services, ensuring they deliver measurable value. Scope: This role requires a blend of deep expertise in data science, analytics, supply chain knowledge, and customer relationship management. You will lead the development of advanced machine learning models and data solutions that directly support organizational goals, while ensuring tha

Who we are: ConnectedX is focused on Digital Transformation and Product Engineering Services, enabling clients achieve their business, operating and technology needs for the digital age. Our unique industry-based, consultative approach helps clients implement digital transformation initiatives. Headquartered in Dallas, Texas, U.S. ConnectedX is a preferred partner for leading Fortune 1000 enterprises and is consistently admired by the clients and employees across the globe. Role: Data Scientist Plano, TX (Hybrid) Duration: 12+ Months Contract What you bring: • Strong experience manipulating data set and building statistical models, has master’s or Ph.D. in statistics, mathematics with focus on ML, NLP, machine learning or another quantitative field. • Strong Knowledge and experience in statistical and data mining techniques – GLM/regression, Random Forest, Boosting, text and data mining. • Experience querying database and using statistical computer languages : R , Python, SQL etc. • Ex

Since 2010 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. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. In this Job market also, our candidates are able to achieve multiple job offers and $100k + salaries. please check the below links to see success outcomes, salaries of our candidates . https://www.synergisticit.com/candidate-outcomes/ https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 https://synergisticit.wistia.com/medias/tmwjwchxz5 https://synergisticit.wistia.com/medias/n8487768di https://synergisticit.wisti

AI Ops Engineer / Data Scientist Hybrid in NYC Terms: All Capgemini contracts are ongoing with a right to hire after 3 months. Conversion at 90 days is rare and pre-specified by Capgemini, but the right to hire remains in place." Work schedule details: hybrid *Only visas accepted are L2 EAD, H4 EAD, AOS EAD. Permanent residents and green card holders. TN visas only if the contractor lives in US. Day to Day Responsibilities: Ops Automation: Design, develop, and implement automated solutions to streamline operational processes. Utilize tools and frameworks that reduce manual intervention and enhance efficiency. Coding and Scripting (SRE): Write code and scripts for Site Reliability Engineering (SRE) tasks, focusing on maintaining and improving system reliability, scalability, and performance. Proficiency in languages commonly used in automation and SRE, such as Python, Go, or Bash. Data Anomaly Detection: Develop and deploy mechanisms to identify and respond to anomalies in data, ensurin

Description Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the worlds most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. AWS Global Services Capacity Planning team is looking for a strong, talented Data Scientist to model contact and

About the job Entry Level Data Scientist Job Location United States of America (USA) Experience 1 - 4 yrs Job Description Bachelors Degree in a quantitative field required with minimum of 1 year of experience; Masters degree preferred. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts and experience with applications. Ability to write clean and concise code, especially in R or Python. Keen eye for detail and thoughtful investigation of data before relying upon it. Ability to work in a professional, confident manner. Sound prioritization and time management skills. Intuition for data science best practices, stemming from proven experience.

Job Details We are seeking a highly skilled Data Scientist with a strong background in data science, machine learning, and statistical modelling. The ideal candidate will have extensive experience working with large datasets, building predictive models, and developing data-driven solutions to drive business decisions. This role requires proficiency in programming, data visualization, and advanced analytics techniques. Key Responsibilities: Develop and implement machine learning models, statistical algorithms, and AI-driven solutions to solve complex business problems. Work with large-scale structured and unstructured datasets to extract meaningful insights. Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to define and execute data-driven strategies. Design and optimize data pipelines for data ingestion, transformation, and real-time analytics. Utilize cloud platforms (AWS, Azure, GCP) for model deployment and automation. Communicate f