Akraya Inc.
https://cdn.haleymarketing.com/templates/62697/logos/akraya-hml.png
http://www.akraya.com
http://www.akraya.com
true
Data Scientist IV: 24-01529
Posted: 07/22/2024
2024-07-22
2024-08-25
Job Category: Data Engineering, Big Data & Hadoop
Job Number: 22345187
Job Description
Primary Skills: Data Science, Machine Learning, Marketing Analytics
Contract Type: W2 Only
Duration: 6 Months + (Possible extension for the right candidate)
Location: San Francisco, CA (#LI-Hybrid)
Pay Range:$115 - $125 Per hour
#LP
Grow your skills by working with industry leaders
JOB RESPONSIBILITIES:
"Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a positive work environment. Voted the #1 Best Place to Work in Silicon Valley (2023) and a Glassdoor Best Places to Work (2023 & 2022), Akraya prioritizes a culture of inclusivity and fosters a sense of belonging for all team members. We are staffing solutions providers for Fortune 100 companies, and our industry recognitions solidify our leadership position in the IT staffing space. Let us lead you to your dream career, join Akraya today!"
Contract Type: W2 Only
Duration: 6 Months + (Possible extension for the right candidate)
Location: San Francisco, CA (#LI-Hybrid)
Pay Range:$115 - $125 Per hour
#LP
Grow your skills by working with industry leaders
JOB RESPONSIBILITIES:
- Design and implement A/B testing procedures to understand the impact of various marketing strategies.
- Develop and maintain attribution models to identify the sequence of touchpoints that lead to a desired outcome.
- Use time series projection and linear programming/optimization techniques to forecast marketing trends.
- Apply machine learning techniques for classification, regression, and clustering to derive insights from complex data sets.
- Build and refine scoring models for accounts and leads to drive more efficient marketing spend.
- Degree in Computer Science, Statistics, Mathematics or a related field.
- 5+ years of overall experience in Data Science.
- 3+ years of relevant experience in Marketing Analytics especially in applying data science techniques to marketing problems.
- Proficiency in Python, SQL, and Snowflake.
- Solid knowledge of standard probability distributions and statistical tests.
- Previous experience with machine learning techniques related to classification, regression, and clustering.
- Familiarity with A/B testing, Attribution, Time series projection, Linear programing/Optimization.
- Able to apply machine learning techniques for classification, regression, and clustering to derive insights from complex data sets
- Strong experience with SQL, Python, Snowflake.
- Data Science, Machine Learning, Marketing Analytics
"Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a positive work environment. Voted the #1 Best Place to Work in Silicon Valley (2023) and a Glassdoor Best Places to Work (2023 & 2022), Akraya prioritizes a culture of inclusivity and fosters a sense of belonging for all team members. We are staffing solutions providers for Fortune 100 companies, and our industry recognitions solidify our leadership position in the IT staffing space. Let us lead you to your dream career, join Akraya today!"
Share This Job:
Related Jobs:
Login to save this search and get notified of similar positions.About San Francisco, CA
Ready to take your career to new heights? Explore job opportunities around the bustling city of San Francisco, California. Known for its vibrant tech scene, picturesque views of the Golden Gate Bridge, diverse culinary offerings like the famous clam chowder in sourdough bread bowls at Fisherman's Wharf, and the artistic vibe of the iconic street art at Clarion Alley. Work-life balance flourishes with easy access to outdoor adventures like hiking in Muir Woods, catching a Giants game at Oracle Park, or browsing through the exhibits at the San Francisco Museum of Modern Art. Join us in San Francisco and discover the endless possibilities this innovative and charming city has to offer.