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Job Description: Advanced skills in programming languages (particularly Python) for data collection, preprocessing, modeling, and monitoring. Experience in Azure a plus.
Company: ConexiomJob Description: You will need to blend your exceptional technical expertise with hands-on practical experience in advancing AIML capabilities for building scalable and value…
Company: VanguardJob Description: Note that this is an applied role with the vast majority of the individual's time spent writing code, analyzing data, and building data products.
Company: METRIOJob Description: Note that this is an applied role with the vast majority of the individual's time spent writing code, analyzing data, and building data products.
Company: NASDAQJob Description: 4+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics…
Company: S&P GlobalJob Description: Product Insights and Strategy: Collaborate with cross-functional teams to translate data insights into actionable recommendations for product roadmap planning…
Company: UnbounceJob Description: Experience with data manipulation and processing, such as SQL or pandas. Work cross functionally with different stakeholders including BenchSci's R&D scientists…
Company: BenchSciJob Description: A Strong understanding of data structures, databases, data lakes, and data ingestion and transformation routines. Bachelors and/or Masters degree preferred.
Company: TELUSJob Description: 7+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics…
Company: S&P GlobalJob Description: Hands-on experience with ML frameworks (e.g. PyTorch, TensorFlow, tinygrad), MLOps frameworks (e.g. Kubeflow, Vertex AI, W&B), natural language processing and…
Company: Unity TechnologiesJob Description: Analyze, interpret and use machine learning and data mining algorithms on the enormous amount of behavioural and transactional data.
Company: GranifyJob Description: Engineer new features and implement data pipelines that power ML models. Understanding of data structures, algorithms, and OO design.
Company: OpenTableJob Description: Minimum of 3 years of experience in data science and machine learning engineering. Leverage NLP and embeddings to extract insights from unstructured data and…
Company: ShyftLabsJob Description: Experience developing ETL jobs (especially Spark) or data warehouse infrastructure. The Machine Learning team at OpenTable supports a wide range of initiatives…
Company: OpenTableJob Description: Experience interacting with other technical and non-technical stakeholders to collaborate on efforts like solutioning, understanding other data domains in order…
Company: Tiger AnalyticsJob Description: You will be responsible for leading and mentoring a team of data scientists who will build models which enhance personalization efforts, forecast key metrics,…
Company: Score Media and Gaming Inc.Job Description: Strong experience with advanced data science analytics and machine learning best practices. Experience with data viz tools such as Tableau, Looker, etc.
Company: Loblaw DigitalJob Description: Understanding the fundamentals of computer science, data structures, and operating systems. As part of the team, you will be a valuable resource, working with…
Company: Sanctuary AIData as of 2023-11-27 (Cached) with id 68803. Database job listings: 1,214,315 jobs and growing. Find more jobs near me.
If you are switching jobs:
The replacement of job shouldn't be a justification for labelling the workplace you have worked in as poor. You should show your boss why you are leaving the company and you ought to point out the things that bothered you, nevertheless do it in a polite and professional way. Keep a way of measuring professionalism that has led you to this aspect in your career. This assists one to make solid references in the future. In conversations with brand-new potential employers, it's important to be professional.
It's also advisable to tell your superior that you will be grateful for the chance that you have had in working for his or hers business. You won't ever know when your current boss will end up being an excellent reference. Remember that no one loves to be criticized. Not from subordinates or co-workers even. Should they deserve it even. A person with whom you have ever worked with can be a possibly positive reference. Do not demolish the bridges behind you. Keep genuine contacts.
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