| Urgent requirement for Data Scientist at Auburn Hills, MI (day 1 onsite) at Auburn, Pennsylvania, USA |
| Email: [email protected] |
| From: Sai kiran, Magic Force [email protected] Reply to: [email protected] Hi, Greeting from Magic force!!! My name is Saikiran we have a job opportunity for Data Scientist based Auburn Hills, MI (day 1 onsite) please find the job description below, if you are available and interested, please send us your word copy of resume with following details to [email protected] Role: Data Scientist Location: Auburn Hills, MI (day 1 onsite) Duration: 12+ months Start Date: ASAP Job description: Data collections process using pipelines, 10+ years data science & analytics, SQL, R, Scala, Java, Kubernetes, working knowledge in containers, GCP, Hadoop Bachelors degree in Computer Science engineering or Data Analytics Data scientist resource will be member of Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization. This work entails problem solving in a variety of domains, including: regression and classification problems; natural language processing tasks; business process optimization; and conducting research and analysis on new technologies and business methodologies. Functions/Responsibility Performed: The following functions are the responsibility of the Data Scientist. This individual may be asked to solely perform the functions, per agreement with the Enterprise Data Science Manager. Collaborate with business stakeholders to understand their challenges and requirements Translate business problems into analytical frameworks and identify opportunities to address complex problems Identify valuable data sources and use Analytical and Visualization tools to explore data, identify trends and discovery patterns Apply statistical analysis and data mining techniques to analyse large and complex datasets Enhance data collection process with preprocessing steps, transform raw data and apply cleansing of structured and unstructured data Automate data collection processes using pipelines Develop and implement models, algorithms, and statistical methodologies to derive actionable insights and make accurate predictions Build interactive dashboards and data visualizations applications to present the model results to stakeholders Document best practices and quality standards to be adherence during development of data science solutions Conduct review and provide feedback on data science work applications Monitor and manage production solutions. Optimize and fine-tune models for performance, accuracy, and scalability Collaborate with cross functional teams to deploy models into production environments Be a team player, proactive, an effective communicator with ability to work independently Eager to learn new data domains Unique Competencies: 8+ years of experience in Data Science and Analytical Domains Understanding of machine-learning and operations research Proficiency in Query languages SQL, Hive and scripting languages Knowledge of R; familiarity with Scala, Java is an asset Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop, Google Cloud Platform, SAP) Working knowledge of containers. For example, experience with Docker or pod man Comfortable with git Proven ability deploying automated data processing pipelines Strong command lines skills in Linux environments Experience with Kubernetes, GCP, AWS, and cloud-native technologies generally A high tolerance for OpenShift, Confluence, Jira, and other enterprise tools Analytical mind and business acumen Proficiency in Data wrangling Strong math skills (e.g., statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills Educational Requirements: Bachelors Degree in Computer Science engineering or Data Analytics Please fill the following questionnaire so that I can use the information while presenting your profile to the client . Req. Full Name Work Authorization Passport number Present location Contact Number E-mail Address Skype ID Availability to join LinkedIn ID Overall US experience Willing to Relocate (Yes/ No) Bill Rate Thanks, and Regards Saikiran Technical Recruiter [email protected] Keywords: rlang Idaho Michigan |
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| Wed Nov 22 00:08:00 UTC 2023 |