Match score not available

Senior Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years experience in time series forecasting, Experience with feature engineering and network science projects, Proficiency in Google Cloud Platform for AI/ML.

Key responsabilities:

  • Manipulate and analyze complex data
  • Design and deploy machine learning pipelines
  • Drive insights from conception to release, mentor team
Mangtas logo
Mangtas Human Resources, Staffing & Recruiting Startup https://www.pro5.ai
11 - 50 Employees
See more Mangtas offers

Job description

Job Description:

The Senior Data Scientist is a creative, open-minded problem solver with effective time management and communication skills. Will be responsible for collaboratively working with our stakeholders to manage engagements and lead teams of data and analytics resources in all aspects of design and delivery of data and analytics solutions - including Analytics, Data Visualization, and Data Management.


We are seeking a candidate with experience in time series forecasting methods, a minimum of 3 years in feature engineering, and prior work on network science projects. Experience with Google Cloud Platform (GCP) for AI/ML is also required.


Duties & Responsibilities:

  • Learn and understand a broad range of data resources and know when, how, and which to use and which not to at any given time.
  • Manipulate and analyze complex, high-volume, high-dimensionality data from various sources using a variety of tools, data analysis techniques, and data science methodology, and use them to identify trends and reach meaningful conclusions.
  • Design data modelling processes to create algorithms and predictive models and perform custom analysis.
  • Design, build, deploy, produce, and operate life cycles of machine learning pipelines.
  • Partner with customers to define and execute the critical insights required to make informed business decisions
  • Be a hands-on technical lead who can own, drive, and develop insights from conception to release
  • Act as a catalyst for insights innovation, aligned to both tactical and strategic business insights efforts
  • Ensuring insights are both actionable and measurable and you should be able to build these insights and hypothesis with awareness of practical implementation and implications for the business
  • Empower and mentor existing employees to further the team’s data science capabilities and capacity


Work Experience:

  • Proven success in applying data science methodologies to support business outcomes.
  • Extensive knowledge in statistical methods and data mining.


Education Level:


Knowledge, Skills, Abilities:

  • Experience with general ML methods and expert in some of the following field:

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Data Scientist Related jobs