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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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This position operates as the data quality assurance specialist and impact analyst for the Head Start/Early Head Start Program and supports implementation fidelity in all ERSEA areas. The ERSEA/DATA Specialist, in collaboration with Early Education Site Directors and under the guidance of the Head Start/Early Head Start Director is responsible for the development and implementation of all ERSEA requirements as outlined in the Head Start Program Performance Standards.
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The Digital Data Analyst contractor provides input and support for Insights generation for digital experiences. Digital Data Analyst. Skills: MarTech tools / knowledge, Adobe Analytics, Fullstory, Qualtrics, Microsoft Power BI, customer and network data, Digital Data Analytics, Adobe Audience Manager (DMP.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA) and/or audit-specific certifications (CIA, CISA, CFE) a plus. Develop and maintain collaborative cross-functional relationships across the company, particularly with Data Science, Engineering, IT, Risk Operations and Finance teams.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, and data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions with clients.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Drive innovation and continuous improvement in data science methodologies and practices within the organization.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Assist with Defining data management strategies, including data import/export, transformation, and cleansing, to maintain data integrity and consistency within the ServiceNow platform.
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Good knowledge and working experience on US Health-care Payer E2E Claims Adjudication, Provider Data Management,Member Enrollment, Care Management, HEDIS, Poupulation Health, and Billing. US Health care Payer E2E Claims Adjudication, Provider Data Management.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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data science analyst jobs Company: Softrams in Atlanta, WA, Canada
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