Senior Staff Data Scientist - Director level
Senior Staff Data Scientist - Director level
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Job Description
To be populated by recruiter.
Qualifications :
Basic Qualifications
10 or more years of work experience with a Bachelors Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
Preferred Qualifications
12 or more years of work experience with a Bachelors Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 6 years of work experience with a PhD
With a track record of successfully delivering complex software systems or services as Senior Data Scientist
Relevant coursework in modeling techniques such as logistic regression Nave Bayes SVM decision trees or neural networks.
Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java C or C#.
Experience with one or more common statistical tools such SAS R KNIME MATLAB.
Deep learning experience with TensorFlow is a plus.
Experience with Natural Language Processing is a plus.
Experience working with large datasets using tools like Hadoop Spark MapReduce Pig or Hive is a must.
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.
Proficiency working with agile methodologies ceremonies.
Exceptional collaboration and partnership skills with the ability to work in a global environment drive consensus in cross-functional teams and comfortable operating in a matrix setup
Demonstrated communications and interpersonal skills to interface well with diverse customer audience executives product and technology stakeholders.
Solid business acumen Strong customer centric mindset and Strategic thinker who can balance big picture strategy with tactical needs of day-day execution.
Experience demonstrating strong leadership self-motivation and accountability
Fast learner on both technical and business side.
Proactive demonstrate sense of urgency and can do attitude
Detail and results oriented able to analyze data to justify product decisions and apply key learnings.
Ability to stay organized while managing competing priorities.
Shown leadership capabilities including significant thought leadership effective decision making and ability to work towards results.
Excellent social skills with a strong emphasis on emotional intelligence to establish relationships with internal Visa teams and clients
Excellent written and oral communication skills with a flair for getting people excited.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 175100.00 to 253950.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
