IS Engineer, Data Scientist - San Francisco, CA, United States - DataSF

Description

IS Engineer, Data Scientist - Police (1042)

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The San Francisco Police Department was established in 1849 and continually strives to become a more effective, inclusive and modern police department, while earning the trust and pride of those we serve and those who serve. Our goal is to reflect on current SFPD initiatives, assess best practices across the country, and evaluate the changing environment in policing and within the City to arrive at a strategy statement that the Department and our community can embody every day.

The San Francisco Police Department stands for Safety and Respect for All. We will engage in just transparent unbiased and responsive policing. We will do so in the spirit of dignity and in collaboration with the community. And we will maintain and build trust and respect as the guardians of Constitutional and human rights.

The San Francisco Police Department is committed to excellence in law enforcement and is dedicated to the people, traditions and diversity of our City. The department provides service with understanding, response with compassion, performance with integrity and law enforcement with vision. The department has grown into a nationally known police department providing law enforcement services to one of the most recognized cities in the United States.

Specific information regarding this recruitment process are listed below:

• Application Opening: November 21, 2023
• Application Deadline: Apply immediately, announcementmay close anytime after two weeks from posting date.
• Work Location: SFPD Headquarters, 1245 3rd Street, San Francisco, CA 94158.Telecommuting work schedule available inline with CCSF policy.

The Strategic Management Bureau (SMB) of the SFPD manages all major strategic projects for the department, to include police reform, change management, technology implementation, auditing, and policy development and implementation. As our new data scientist, you would immediately contribute to ongoing and yet to be approved projects at the department level, in one of the top 20 law enforcement agencies in the nation by size.

Under general direction of the SMB Program Manager and Business Analysis Team Lead, the 1042 IS Engineer (Journey) functions as a Data Scientist employing generally accepted data science techniques on dozens of available datasets. You will join our team as an analytics expert and data advisor/architect to assist the department in the development of its data collection, analysis, transparency, reporting and warehousing programs. You will help identify opportunities for data modeling and visualization, conduct and communicate the analysis and help deploy the insights into reports and operations. You will be a member of a team of data analystwho work to deliver the best insights using data and knowledge of business practices to provide reporting to the public, our enterprise, our accountability partners, local, state, and federal government entities, and the public at large.

• Generates, define, and refine data science projects and manage a portfolio of data science projects from conception to implementation.
• Conduct a range of analyses or experiments using whatever statistical and modeling methods and tools are most appropriate.
• Serve as subject matter expert and help improve the skills of department data analysts, the efficiency of the workflow, and the quality of the work and outputs.
• Develop data visualizations and tools to support analysis.
• Conduct research and analysis as needed to inform the data analysis.
• Develop presentations and communicate the results of your work.
• Help develop and implement products, services, tools, or business process changes resulting from the analysis.
• Create and maintain data pipelines for open data and data science projects as needed.
• Advise the department on data architecture, collection and warehousing programs and policies.
• Provide technical assistance and guidance to data analysts implementing their own analytical work.
• Perform other related duties as assigned.

How to qualify

• Education : An associate degree in computer science or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units [i.e., at least sixty (60) semester or ninety (90) quarter credits/units with a minimum of twenty (20) semester or thirty (30) quarter credits/units in computer science or a closely-related field].

AND

• Experience : One (1) year of full-time experience analyzing, installing, configuring, enhancing, and/or maintaining the components of an enterprise network.

Substitution : Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years). One (1) year is equivalent to thirty (30) semester units/r forty-five (45) quarter units with a minimum of 10 semester / 15 quarter units in computer science or a closely related field.

Desirable Qualifications:

• Masters in GIS, computer science, engineering, statistics, mathematics, economics, engineering, policy analysis, public policy, user-centered design or related field.
• Demonstrated experience with the following:
  • Python and R and fluency in SQL.
  • GIS and mapping concepts and tools or equivalent.
  • Data visualization tools.
  • Concepts of information design and presentation, including principles of visual encoding and communication.

Verification of Education and Experience: Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. If education verification is required, information on how to verify education requirements, including verifying foreign education credits or degree equivalency, can be found at

Note: Falsifying one's education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.

All work experience, education, training and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications.

Resumes will not be accepted in lieu of a completed City and County of San Francisco application.

Applications completed improperly may be cause for ineligibility ordisqualification.

Background Investigation: Prior to employment with the San Francisco Police Department, a thorough background investigation will be conducted to determine the candidate's suitability for employment. The investigation may include, but not be limited to: criminal history records, driving records, drug/alcohol screening, and other related employment and personal history records. Reasons for rejection may include use of controlled substances and alcohol, felony conviction, repeated or serious violations of the law, inability to work with co-workers,inability to accept supervision, inability to follow rules and regulations or other relevant factors. Candidates may be required to undergo drug/alcohol screening, and must clear Department of Justice and Federal Bureau of Investigation fingerprinting. Criminal records will be carefully reviewed; candidates who do not report their complete criminal records on their applications will be disqualified. Applicants will be fingerprinted.

What else should I know?

Recruiter Information : If you have any questions regarding this recruitment or application process, please contact the Human Resources Analyst, Danny Wan .

Additional Information Regarding Employment with the City and County of San Francisco:

The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.