Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeThe Senior Software Engineer will play a pivotal role in advancing the technological landscape of GSK, specifically focusing on the design, delivery, and ongoing support of state-of-the-art data driven applications.

PhD/MS from accredited university or college in one or more of the following areas: Materials Science, Chemical Engineering, or a closely related field. Strong theoretical background in electrochemistry with proven ability to perform data analysis and modeling, track record in novel electrochemical research, demonstrated ability to independently plan and implement research programs.

PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 3 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.

Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.

Strong computer literacy skills including proficiency in rock engineering software, familiarity with the Rocscience suite or design of mesh and dowel systems is a plus. We are currently seeking a Geologist, Engineering Geologist, or Geological Engineer to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment.

Bachelor’s degree in computer science, Information Systems, Software Engineering or similar field. Master Data Management: Informatica MDM. Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift.

Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.

5+ years prior experience in B2B capital equipment sales with ASP of $500k to $2M in the Medical Industry. At Desktop Metal, we believe additive manufacturing, commonly referred to as 3D printing, is one of the most exciting and transformational technology innovations of our time.

The Global Performance team is one of the four pillars within Fiera Capital's Global Operations, alongside Portfolio Administration, Fund Administration and Data Management. Fiera Capital adheres to a hybrid working environment with 3 days in-office per week.

Proficiency in at least one of the following data science software tools: pandas, tensorflow, scikit-learn, luigi, nipype, mne, statsmodels, pymc3. Ability to apply scientific theories to user needs and work well with a software engineering team to define the direction of technical solutions.

Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.

Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.

BPS is particularly interested in candidates who are fluent in one of BPS' official languages: Spanish, Creole (Cape Verdean), Creole (Haitian), Chinese, Vietnamese, Portuguese, & Somali. Qualifications - Required Education: High School Diploma or GEDForty-eight (48) Credit Hours of College Coursework or an Associate's Degree, or a passing score on one of the two following Formalized Standardized Assessments: ParaPro Assessment ( ) or WorkKeys Certificate of Proficiency for Teacher Assistants.

What you will be responsible forDesign, develop, and maintain scalable data pipelines using pyspark on Databricks, adhering to best practices and emphasizing software engineering principles.

Stay abreast of industry trends, best practices, and advancements in data engineering and analytics, and proactively identify opportunities for innovation and improvement. Familiarity with: Cloud computing platforms (e.g., AWS, Azure, Google Cloud) Cloud data platforms (e.g., Snowflake, S3, Redshift, BigQuery) Cloud data services (e.g. dbt Cloud, Fivetran) Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate with multidisciplinary teams and stakeholders.