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Data Scientist
Cypress HCM San Jose, CA
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$110k-135k (estimate)
Full Time 1 Week Ago
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Cypress HCM is Hiring a Data Scientist Near San Jose, CA

This is an exciting opportunity to join a growing global company in the cloud-based software industry. This is a hybrid position. We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain.

Responsibilities:

Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.

Utilize data analysis to design and implement fraud strategies

Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.

Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.

Development of dashboard and visualizations to track KPI of fraud strategies implemented

Requirements:

2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse

Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience

Experience using statistics and data science to solve complex business problems

Proficiency in SQL, Python, Excel including key data science libraries

Proficiency in data visualization including Tableau

Experience working with large datasets

Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.

Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes

Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.

Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies, or credit products

Pay Rate:

$50-$70/hour

Job Summary

JOB TYPE

Full Time

SALARY

$110k-135k (estimate)

POST DATE

05/05/2024

EXPIRATION DATE

05/18/2024

WEBSITE

CypressHCM.com

HEADQUARTERS

WALNUT CREEK, CA

SIZE

50 - 100

FOUNDED

2005

TYPE

Private

CEO

BRIAN J VESCE

REVENUE

$10M - $50M

INDUSTRY

Business Services

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About Cypress HCM

Cypress is a consulting company that offers marketing, payroll and recruitment services for businesses.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a 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 Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a 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 Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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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 Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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