Junior Data scientist Boston jersey City nj ref

Job Description

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Experience level: Mid-senior Experience required: 2 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Financial Services Compensation: View salary Total position: 1 Relocation assistance: No

JOB DESCRIPTION:

The Junior Data Scientist position in the Data Services Tribe offers candidates an unparalleled opportunity to support the success of a growing portfolio of data services that offer referential and activity-based data solutions sourced from DTCC's transaction, reference, position and asset servicing data covering all major asset classes. As the premier post-trade market infrastructure for the global financial services industry, DTCC simplifies the complexities of data management across transaction types and asset classes, increasing transparency, mitigating risk and driving efficiencies for financial firms.

A Junior Data Scientist on the Innovation Squad in Data Services is responsible for creating the initial designs of future Data Products. This role works closely with Product Management to gather requirements, understand data, and develop prototypes. This role allows the Junior Data Scientist to grow their data analytics, problem solving and communication skills, while also learning more about financial markets.

RESPONSIBILITIES:

Work with Product Management to define requirements and identify data for new data products

Create complex SQL queries that aggregate, anonymize, and analyze data

Modify existing SQL code for enhancements in existing data products

Translate analytical results to technical and non-technical audiences

QUALIFICATIONS:

Minimum of 2 years of related experience

Bachelor's degree in math, statistics, or computer science preferred or equivalent experience

Excellent SQL skills (Snowflake experience preferred)

Strong data analytics and statistical knowledge

Knowledge of database design

Experience in Agile Methodologies

Experience in data visualization

Excellent communication skills – able to communicate technical information to non-technical team members

Fosters a culture where honesty and transparency are expected

ADDITIONAL QUALIFICATIONS:

Experience working with Snowflake, AWS, PowerBI and/or Looker

Interest in Machine Learning

Experience or interest in Python

Experience with version control systems, such as git

ABOUT: DTCC safeguards the financial markets and helps them run efficiently, in times of prosperity and crisis. We are uniquely positioned at the center of global trading activity, processing over 100 million financial transactions every day, pioneering industry-wide, post-trade solutions and maintaining multiple data and operating centers worldwide. From where we stand, we can anticipate the industry’s needs and we’re working to continually improve the world’s most resilient, secure, and efficient market infrastructure. Our employees are driven to deliver innovative technologies that improve efficiency, lower cost, and bring stability and certainty to the post-trade lifecycle. DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you’ll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A career is more than a good way to earn a living. It’s the chance to make a difference at a company that’s truly one of a kind.

1.) Does candidate have experience with Snowflake, AWS, PowerBI and/or Looker? If yes please elaborate.

2.) Please elaborate candidate's experience with complex SQL queries that aggregate, anonymize, and analyze data.

3.) This position is available in multiple offices of Which location is the candidate applying for?

4.) Please provide the link to candidate’s LinkedIn profile:

5.) What is the candidate’s work authorization status?

6.) What is the candidate’s highest level of education?

7.) Has the candidate applied or been interviewed for any role with this company in the past? If so, please provide details.

8.) What is the candidate’s desired total compensation? (Please specify base salary vs. commission/bonus expectation)

9.) Where is the candidate located? If candidate is not near the job location, please explain relocation plan in detail (e.g. timeline, relocating with family, selling/buying property)

Skills