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Job Overview

  • Job ID:

    J38726

  • Specialized Area:

    Data Science

  • Job Title:

    Data Science

  • Location:

    Dallas,TX

  • Duration:

    12 Months

  • Domain Exposure:

    Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099(C2C)




Job Description

Title: Sr. Data Scientist

Position type: Full-time/W2

 Must have experience Experimental and A/B Test OR hypothesis stastical testing 

KEY QUALIFICATIONS (Please refer to turbo hire for the complete JD)

• Expertise in experimentation and statistical hypothesis testing (e.g., sample size determination/power analysis, statistical tests, confidence intervals, etc.).

• Strong communication and presentation skills, including the ability to present analyses to a diverse group of stakeholders, including data scientists, creatives, and marketing leaders.

• Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.

• Strong data querying skills (SQL) and experience with a scripting language (Python or R).

• Excellent time management skills and ability to manage multiple A/B testing projects in various stages of development.

• Team player who enjoys collaborating with others. Highly beneficial:

• Experience with advanced statistics, econometrics, or causal inference.

• Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets.

 

Core responsibilities cover three pillars:

DIGITAL ANALYTICS:

Lead a select number of strategic analyses to provide teams and leaders with actionable

insights regarding opportunities to improve traffic, engagement, and conversion.

Turn optimization hypotheses into A/B test proposals. Partner with Marcom Producers,

Creatives, and Developers to determine the A/B test population, user experience, KPIs, and

runtime requirements.

EXPERIMENT ANALYSIS:

Design experiments, analyze results, develop insights, and summarize recommendations.

Work closely with the A/B Test Platform Engineering Team to ensure the analytics

implementation suits our needs.

RESEARCH & DEVELOPMENT:

Partner with Data Scientists across Marcom, Retail, and Operations on projects to increase the sophistication of our experimentation program and deliver deeper insights about marketing performance.

EDUCATION & EXPERIENCE:

Bachelor’s degree with quantitative emphasis. Statistics, Data Science, Mathematics,


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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract