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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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1 year of experience delivering solutions in at least two of the following: data science, data research, geospatial, finance, econometrics, cloud computing or big data and database management.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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They are looking to add a Histology or Pathology Supervisor on DAY SHIFT. For consideration, applicants must have his or her Associate's or Bachelor's Degree in clinical laboratory science, biomedical science, medical technology, histology, cytology or in a life/biological science in addition to either ASCP or AMT Certification as a Histotech (HT), Histology Technologist (HTL) or Cytology (CT.
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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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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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A background in Athletic Training, Kinesiology, Exercise Science, Exercise Physiology, Kinesiology, Health & Wellness, Health Promotion, Human Performance, Public Health, Physical Education, Fitness, Personal Training, or Athletics.
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Databricks data engineering (Databricks Professional Data Engineer and/or Spark Developer certification preferred) 2+ years of Databricks data engineering experience (Databricks Professional Data Engineer and/or Spark Developer certification preferred.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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The Senior Medical Science Liaison (MSL) serves as a trusted scientific expert and partner representing Bayer in the medical community through the dissemination of and education on scientific data related to Bayer products across the product lifecycle.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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The School plays leadership roles in TRIAD, the cross-disciplinary NSF-funded center in data science, and the NSF-funded research training hub in Geometry and Topology (GTGT). The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. 6 years of customer data analysis experience / advanced analytics capabilities in Voice of Customer research (CX, UX, EX.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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data science quality jobs Title: manager in Atlanta, HI, Canada
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