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L DATA Scientist - In-Person Interview in Austin, TX - 78701 (Urgent Need) - CTH Role at Austin, Texas, USA
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Need only local
(very near) who can attend F2F interview and can work 5 days
weekly onsite

It
is Contract to Perm. Hiring (CTH)

Job: Lead Data Scientist (at least 12+
Years)

Location: Austin, TX - 78701

Duration: 6+ Months CTH role

5 days / week Onsite Job (No remote)

Reports to:
Chief
Revenue Officer

KEY RESPONSIBILITIES

Develop a deep
analytic understanding of product (both qualitative and quantitative) to
provide data-based analytics to deliver innovation and optimization across
user acquisition, engagement, and profitability

Collaborate with
cross-functional business teams including marketing, product, and strategy
to translate business needs into robust and actionable solutions

Clean and
analyze robust user datasets to identify trends, patterns, and insights
using statistical methods and software tools that can power forecasting
and decision making

Conduct data
profiling and data quality analysis and convey results clearly to help
business understanding of problems and effects

Identify and
fill reporting gaps in existing data infrastructure as well as maintaining
data documentation

Develop
strategies to capture and utilize untapped analysis and data sets

Ensure data
integrity, accuracy, and accessibility across various business functions.

Implement and
manage data governance best practices

Work with cloud-based data warehouses (e.g.,
Snowflake, BigQuery, Redshift) and analytics tools (e.g., dbt, Looker,
Tableau, Sigma) in addition to standing up a data science tool stack

MINIMUM QUALIFICATIONS:

8+ Years of experience in data science,
analytics engineering, data engineering, or a related role
.

Strong Python and SQL skills, plus experience
with modern data warehouses (Snowflake, BigQuery, Redshift).

Strong
analytical abilities with the capacity to gather, arrange, organize, and
communicate a substantial amount of information with accuracy and
attention to detail

Understanding of data modeling principles
(Kimball, Star Schema, etc.).

Familiarity with BI tools like Sigma, Looker,
Tableau, or Mode Analytics.

Strong
problem-solving skills and ability to work cross-functionally with
technical and non-technical teams.

Passion for
data-driven decision-making, improving business outcomes, restaurants and
hospitality

PREFERRED QUALIFICATIONS:

Bachelors
degree in computer science, data science, mathematics, information
sciences, statistics or related field or equivalent work experience

Experience with
feature engineering and supervised learning models

Experience
building and maintaining ETL pipelines.

Previous startup
experience

WORK ENVIRONMENT:

The candidate in
this position will be primarily located in an office environment and be
exposed to lighting, temperature, and noise level conditions typical of
that environment

This position is
primarily in-person, with an expectation of in-person work at the physical
office location in downtown Austin, Texas

Thanks & Regards,

Vineet Kumar Sharma

Senior Recruitment
Executive - (US Operations)

Email:

[email protected]

LinkedIn:

linkedin.com/in/vineetrpo

VBeyond Corporation (USA |
UK | CANADA | INDIA)

www.vbeyond.com |
New Jersey, USA

Note
VBeyond is fully committed to Diversity and Equal Employment Opportunity.

Disclaimer
: We respect your
Online Privacy. This is not an unsolicited mail. Under Bill S 1618 Title III
passed by the 105th US Congress this mail cannot be considered Spam as long as
we include Contact information and a method to be removed from our mailing
list. If you are not interested in receiving our e-mails, then please reply to [email protected] subject=Remove. Also
mention all the e-mail addresses to be removed which might be diverting the
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Keywords: business intelligence information technology Texas
Lead DATA Scientist - In-Person Interview in Austin, TX - 78701 (Urgent Need) - CTH Role
[email protected]
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https://jobs.nvoids.com/job_details.jsp?id=2225838&uid=
[email protected]
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11:17 PM 04-Mar-25


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Location: Austin, Texas