Job Title: Senior Data Scientist
Salary: 27.2 Lakhs per year (₹2.3L per month).
Location: Bengaluru, Karnataka
Company: Procore
Qualifications: M.C.A.
Experience: 5+ years
ABOUT PROCURE
Procore Technologies is a leading provider of creation control software, based in 2003 and centered in Carpinteria, California. The organization makes a specialty of presenting a complete suite of tools designed to streamline the development procedure, from task-making plans and control to execution and entirety. The procure platform allows progressed collaboration, communique, and performance amongst challenged stakeholders, such as general contractors, subcontractors, and proprietors.
Its cloud-primarily based software enables teams to manipulate documents, song mission development, take care of budgets, and make certain compliance with policies. With a focus on innovation and consumer-pleasant layout, Procore has established itself as a key participant in the production industry, helping thousands of tasks worldwide and helping groups enhance productivity and obtain higher task outcomes.
Senior Data Scientist Job Overview
Position Summary:
A Senior Data Scientist is a key participant in the analytics team, tasked with leveraging superior statistical strategies and gadgets getting to know strategies to pressure commercial enterprise selections. This feature involves running carefully with move-beneficial teams to research massive datasets, enlarge predictive models, and deliver actionable insights. The Senior Data Scientist should have deep know-how of records science methodologies, robust programming talents, and the capability to communicate complicated findings efficaciously to stakeholders.
Key Responsibilities:
Data Analysis and Interpretation:
- Collect, easily, and study huge volumes of established and unstructured information from numerous assets.
- Apply statistical strategies to interpret facts, understand tendencies, and uncover insights.
- Develop and place into effect algorithms and predictive models to treat complicated industrial business enterprise problems.
Model Development and Deployment:
- Design and assemble machine studying fashions and algorithms tailored to corporation goals.
- Optimize fashions for ordinary performance and scalability, making sure of robustness and accuracy.
- Deploy models into production environments and screen their performance over the years.
Collaboration and Communication:
- Work with business stakeholders to recognize their desires and translate them into technical necessities.
- Communicate findings and guidelines surely via reviews, visualizations, and shows.
- Collaborate with information engineers, software builders, and other institution individuals to integrate answers into modern structures. (Senior Data Scientist)
Technical Leadership and Mentorship:
- Provide steering and mentorship to junior statistics scientists and analysts.
- Lead technical discussions and contribute to extremely good practices in facts technological understanding and analytics.
- Stay updated with the ultra-modern trends and improvements in statistics technology and machine mastering.
Project Management:
- Manage and prioritize a couple of initiatives, making sure well-timed shipping of outstanding outcomes.
- Develop venture plans and song progress in opposition to milestones.
- Address and solve any issues or roadblocks that upward thrust up at some degree within the challenge lifecycle.
Required Skills and Qualifications:
- Education: Advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, or a related location.
- Experience: Minimum of five years of enjoy in facts generation or a related role, with a tested tune file of successful responsibilities and model deployment.
- Technical Skills: Proficiency in programming languages at the side as Python, R, or SQL. Experience with statistics manipulation, statistical assessment, and tool studying libraries (e.g., sketches a look at, TensorFlow, PyTorch).
- Analytical Skills: Strong problem-fixing capabilities, with a revel in growing and applying superior analytical techniques.
- Communication Skills: Excellent verbal and written verbal exchange abilities, with the capability to deliver complicated technical concepts to non-technical audiences. (Senior Data Scientist)
- Project Management: Experience dealing with tasks and operating collaboratively in a set of surroundings.
Preferred Qualifications:
- Industry Experience: Experience in the relevant organization or area (e.g., finance, healthcare, e-change).
- Big Data Technologies: Familiarity with big facts gear and systems along with Hadoop, Spark, or AWS.
- Business Acumen: Understanding of employer strategies and the functionality to align records-era responsibilities with organizational dreams.
Work Environment:
The Senior Data Scientist usually works in an organization workplace setting but may additionally have the capability for far-flung artwork relying on the company. The characteristic calls for occasional journeys for conferences or meetings.
Apply Now
Other Job’s
