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Use of statistical and programming software (e.g. SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis.
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Net, R Programming Language, Python, Azure, and Kibana. Knowledge of Python or R Programming Language is a plus. Partner with the Product & Production Support team(s) as a Data/DevSecOps/Technical SME for migration of re-architected Product/Product functionalities to the new Cloud Platform.
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Extensive experience in solving scientific problems using programming languages relevant to data analysis such as Python, R, Bash (shell scripting), etc. Masters Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 3+ years of relevant work experience.
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As we develop an enterprise-wide data and digital strategy that moves us toward a greater focus on the use of data and strengthening our digital, AI capabilities, we are seeking a Scientist for Data Platform Optimization.
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As an Associate Data Engineer R&D, you shall focus on designing comprehensive queries for business problems by handling large volumes of data efficiently on the world's best native cloud systems for improved management of R&D Data. Your role shall be within the Data Management and Technologies(DMAT) group in Agronomic Analytics and Modelling team of the Yara Agronomy R&D unit.
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Run a variety of electrochemical experiments while assisting in R&D projects for new metal plating and plating methodologies. The co-op will work with the Plating Lab, Process Engineering and the Materials Innovation Group in order to gain exposure to various laboratory tests, electroplating techniques, and new plating research areas.
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Programming experience with either SAS/SQL/R or Python. Experience in Google Cloud will be a plus, preferably using BigQuery or similar data warehouses as well as BigQuery ML and Vertex AI to run ML models.
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Play a role in defining and analysing new requirements from Nissan R&D in PDM and CAD domain. Work closely with business and document requirements for projects in CAD & Engineering domain of Nissan R&D.
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Assist Clinical Scientist, Study Responsible Scientist (SRS), &/or Study Responsible Physician (SRP) in various clinical research assigned Immunology Development clinical trials. Assist with clinical study activities such as study start up, investigator meetings, data review, etc.
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Leverages a variety of tools such as Python, SAP Data Services, Dataflow, DataStream, Google Cloud Functions, Spark, Google Cloud Run, SAP SLT, Google Pub Sub, etc. Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.
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Constantly look for ways to optimize PPA of the product at all different levels (logic and architecture, synthesis and P&R flows, floorplan, libraries, technology selection) Run synthesis, P&R, CTS flows using industry standard tools from Synopsys and Cadence.
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Providing subject matter expertise and technical consulting support on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and Machine Learning/AI.
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Data Engineering such as MS Azure, AWS, & Snowflake; Data Visualization such as Tableau, Power BI, and Sigma; Employer will accept a Master’s degree in Analytics, Data Science, or Business Administration and two (2) years of experience in the job offered or in an analytics-related occupation.
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Competent operating total stations, GNSS receivers, data collectors, and tablet PCs. Experience with Trimble equipment is preferred. Our national reach, expertise, and applied technologies uniquely equip us to capture physical environments from coast to coast — delivering practical insights and high-quality spatial data with unrivaled speed and accuracy.
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We use the industry’s most advanced software and hardware for collecting and analyzing complex spatial data across a wide range of markets and scientific disciplines. This role has a strong focus in the commercial, utilities, transportation, and renewables industries and involves collecting accurate spatial data.
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