26 sr data scientist advertising Jobs in san francisco, ca
Unreal Gigs is Hiring a Senior Data Scientist Near San Francisco, CA
Position Overview: As a Senior Data Scientist, you'll lead the charge in leveraging advanced analytics and machine learning to solve complex business challenges and drive strategic initiatives. Working closely with cross-functional teams of data scientists, engineers, and business stakeholders, you'll shape our data science strategy and mentor junior team members. If you're passionate about pushing the boundaries of data science and eager to make a significant impact, we want you on our team.
Requirements
Key Responsibilities:
- Strategic Data Science Leadership: Lead the development and execution of our data science strategy, identifying opportunities to leverage data science to drive business value and competitive advantage.
- Advanced Analytics and Machine Learning: Apply advanced statistical techniques and machine learning algorithms to analyze large datasets, uncover insights, and build predictive models that drive business decisions.
- Model Development and Deployment: Lead end-to-end development and deployment of machine learning models, from data preparation and feature engineering to model training, evaluation, and deployment in production environments.
- Cross-functional Collaboration: Collaborate with cross-functional teams to understand business objectives, translate them into data science initiatives, and drive alignment on priorities and deliverables.
- Mentorship and Knowledge Sharing: Mentor junior data scientists, providing guidance on best practices, methodologies, and tools, and foster a culture of continuous learning and knowledge sharing within the team.
- Data Visualization and Storytelling: Create compelling visualizations and narratives to communicate complex analytical findings and recommendations to stakeholders at all levels of the organization.
- Research and Innovation: Stay abreast of the latest developments in data science, machine learning, and related fields, and explore innovative approaches to solving business problems and driving value from data.
- Quality Assurance and Governance: Ensure the integrity, reliability, and reproducibility of data science projects, and implement quality assurance processes and governance mechanisms to maintain high standards of excellence.
- Master's degree or PhD in Computer Science, Statistics, Mathematics, or related field.
- 5 years of experience in data science, with a proven track record of leading complex data science projects from conception to delivery.
- Expertise in machine learning techniques such as regression, classification, clustering, time series analysis, and natural language processing.
- Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries such as pandas, NumPy, and scikit-learn.
- Strong problem-solving abilities and analytical thinking, with a passion for tackling complex data science challenges and driving actionable insights.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Leadership experience, with the ability to inspire and mentor junior team members and drive cross-functional collaboration.
- Competitive salary: The industry standard salary for Senior Data Scientists typically ranges from $170,000 to $250,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Generous vacation and paid time off.
- Professional development opportunities, including access to training programs, conferences, and workshops.
- State-of-the-art technology environment with access to cutting-edge tools and resources.
- Vibrant and inclusive company culture with team-building activities and social events.
- Opportunities for career growth and advancement within the company.
- Exciting projects with real-world impact across diverse industries.
- Chance to work alongside top talent and industry experts in the field of data science.
Job Summary
Full Time
$136k-167k (estimate)
05/02/2024
05/15/2024
The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Scientist job description and responsibilities
Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
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Collating and cleaning data from various entities for later use by junior data scientists.
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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Scientist jobs
Present final result to stakeholders. Make adjustments based on feedback.
03/19/2022: Augusta, GA
Learn the required skills to become a data scientist.
03/27/2022: Gulfport, MS
Review additional data scientist certifications and post-graduate learning.
03/27/2022: Elkhart, IN
Ask the right questions to begin the discovery process.
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Choose one or more potential models and algorithms.
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Step 3: View the best colleges and universities for Senior Data Scientist.
