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Senior Data Scientist (Remote)
$108k-133k (estimate)
Contractor 1 Week Ago
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Blue Orange Digital is Hiring a Remote Senior Data Scientist (Remote)

Company Overview:Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company.
Position Overview: The ideal candidate will be an experienced Senior Data Scientist based in the US (citizen or established US legal entity) with proven experience in building credit models using transaction data for retail banking and an ability to analyze inflows, outflows, and transaction narratives to provide a holistic view of customer accounts.
Responsibilities:
  • Lead the development of models that predict financial hardships and can generate financial nudges based on customer spending behaviors.
  • Utilize data techniques for crime detection.
  • Design, implement, monitor, and manage risk assessment models able to work with transaction-based data to identify patterns and anomalous behaviors aimed at improving Gini coefficients.
  • And other requests as directed by your manager.
Requirements:
  • 7 years working as a Data Scientist or similar role.
  • Proven experience in 1 of the following, up to all 3:
    • Risk assessment
    • Money laundering
    • Anomaly detection modeling, such as Isolation Forest
  • Proven experience in building credit models using transaction data for retail banking, with an ability to analyze inflows, outflows, and transaction narratives to provide a holistic view of customer accounts.
  • Similarly proven crime detection, such as money laundering, under tight timeframes.
  • Strong proficiency in PySpark and familiarity with both traditional data warehouses like Redshift and modern data platforms like Databricks on AWS.
  • Demonstrated capability in machine learning algorithms, especially XGBoost and Isolation Forest, for risk assessment and anomaly detection in financial contexts.
  • Experience with transaction monitoring systems, including developing and adjusting rule-based triggers and integrating machine learning insights to enhance detection capabilities.
  • Strong ability to deliver meaningful insights into data.
  • Gifted technical communicator – able to speak meaningfully to non-technical audiences.
  • Well-practiced live presentation skills to executive and C-level clients – 3 years’ experience.
  • Adept client engagement skills as a consultant and advisor.
  • Bachelor's degree or greater in Data Science or similar.
  • A strong propensity for working in a Team as a prime specialist Data Scientist contributor.
Preferred qualifications:
  • 3 years leading client delivery Data Science projects and engagements.
  • Advanced technical soft degrees are a plus.
  • Pyspark and/or Databricks certification.
Salary: $155,400 - $168,000 per year ($12,950 - $14,000 per month) - USD
Blue Orange Digital is an equal opportunity employer.
Background checks may be required for certain positions/projects.

Job Summary

JOB TYPE

Contractor

SALARY

$108k-133k (estimate)

POST DATE

09/02/2024

EXPIRATION DATE

09/27/2024

WEBSITE

blueorange.digital

HEADQUARTERS

New York, NY

SIZE

<25

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Blue Orange Digital
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Blue Orange Digital
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Blue Orange Digital
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The job skills required for Senior Data Scientist (Remote) include Data Science, Machine Learning, Insight, Algorithms, Presentation, Data Analytics, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist (Remote). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist (Remote). Select any job title you are interested in and start to search job requirements.

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

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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.

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Learn the required skills to become a data scientist.

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Review additional data scientist certifications and post-graduate learning.

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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.

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