Sr Data Scientist
Sr Data Scientist
Posted on :
13-02-2025
Employer Active
1 Vacancy
The job posting is outdated and position may be filled
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
13-02-2025
Job Description
Job summary
15 years of experience in data analysis machine learning and statistical modeling.
The ideal candidate will have expertise in Databricks Data Science Azure Data Lake ML/Kube/Sagema/Azure ML Admin and Azure ML Studio.
This role requires working from the office during day shifts and does not involve travel.
Proficiency in English is essential.
Responsibilities
Lead and manage complex data science projects from inception to completion ensuring highquality deliverables.
Utilize Azure ML and Databricks to design develop and deploy advanced machine learning models and data pipelines
Analyze large datasets to extract actionable insights and support datadriven decisionmaking
Collaborate with crossfunctional teams including data engineers analysts and business stakeholders to understand business requirements and translate them into data science solutions.
Mentor and guide junior data scientists fostering a culture of continuous learning and development
Stay up to date with the latest advancements in data science machine learning and AI technologies and apply them to improve existing processes and models
Communicate complex analytical concepts and results to nontechnical stakeholders in a clear and concise manner.
Lead the design and implementation of data architecture solutions using Databricks and Azure Data Lake.
Oversee the development and deployment of data science models to solve complex business problems.
Provide technical expertise in ML/Kube/Sagema/Azure ML Admin and Azure ML Studio
Collaborate with crossfunctional teams to ensure data solutions align with business objectives.
Ensure data integrity and security across all data platforms and solutions.
Develop and maintain documentation for data architecture and processes.
Mentor and guide junior team members in best practices and technical skills.
Conduct regular performance tuning and optimization of data solutions.
Stay updated with the latest industry trends and technologies in data science and machine learning.
Participate in code reviews and provide constructive feedback to peers.
Troubleshoot and resolve technical issues related to data architecture and machine learning models.
Contribute to the continuous improvement of data processes and methodologies.
Communicate effectively with stakeholders to understand requirements and deliver solutions that meet their needs.
Qualifications
Possess extensive experience in Databricks and Azure Data Lake.
Demonstrate strong knowledge of data science and machine learning principles
Have handson experience with ML/Kube/Sagema/Azure ML Admin and Azure ML Studio.
Exhibit excellent problemsolving and analytical skills.
Show proficiency in English for reading writing and speaking.
Display strong collaboration and communication skills
Have a track record of mentoring and guiding junior team members.
Be adept at performance tuning and optimization of data solutions
Stay informed about the latest industry trends and technologies
Be capable of troubleshooting and resolving technical issues.
Have experience in developing and maintaining documentation
Demonstrate the ability to communicate effectively with stakeholders
Show a commitment to continuous improvement of data processes and methodologies.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
