Data Scientist IV
Astreya · India
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
What this Job Entails
The Data Scientist IV designs, develops and programs methods, processes,
and systems to consolidate and analyze unstructured, diverse “big data”
sources to generate actionable insights and solutions. The hire will be
responsible for statistical modeling, and analysis of structured and
unstructured datasets to develop metrics, reports, and visualizations of
trends and patterns.
Scope
Uses professional concepts and company objectives to resolve complex issues in creative and effective ways
Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors
Your Roles and Responsibilities
Leads in the development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
Identifies meaningful insights from large data and metadata sources
interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
Propose solutions and strategies to business challenges and presents to the executive board
Create data visualizations
Leads and mentors others on the team
Build predictive models and machine-learning algorithms
Troubleshoot and test database technical issues with development team
Independently analyze data sets to identify opportunities for increased accuracy and efficiency
Perform quality assurance on data to determine potential data gaps
Assemble large, complex data sets that meet functional / non-functional business
Work with data and analytics experts to strive for greater functionality in our data systems.
Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position
Required Qualifications/Skills
Bachelor’s degree (B.S/B.A) from four-college or university and 8+ years’ related experience and/or training; or equivalent combination of education and experience
Demonstrates good judgment in selecting methods and techniques for obtaining solutions
Networks with key contacts outside own area of expertise
Excellent analytical skills, tenacious problem solver with strong verbal communication skills
Experience working with Big Data to provide EDA to senior team leads
SQL skills; including creating and modifying macros, as well as creating dashboards using SQL coding
Excellent written communication skills
High level of attention to detail
Ability to independently analyze large amounts of data; including the ability to identify, analyze, and interpret trends, gaps, patterns in complex data sets
Proficient in data engineering on GCP, AWS, and Azure, as well as in Python, R, and TensorFlow
Experience using AI/ML and Generative AI for Analytics, Modelling and data science
Preferred Qualifications
Master’s Degree in Business Administration, Computer Science, Mathematics, or related field
Physical Demand & Work Environment
Must have the ability to perform office-related tasks which may include prolonged sitting or standing
Must have the ability to move from place to place within an office environment
Must be able to use a computer
Must have the ability to communicate effectively
Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers
Originally posted on Himalayas
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data scientist actually earnsmedian, seniority, by country
- Where data scientists move nextevery measured route out
- All open data scientist rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data scientist’s profile already covers.
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