Data Scientist IV

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Senior level
Information Technology
The Role
Lead development of data pipelines, statistical models, and machine-learning solutions on cloud platforms. Cleanse, integrate, and analyze large structured and unstructured datasets, produce visualizations and reports, and communicate insights to business and executive stakeholders. Mentor team members, perform QA on data, troubleshoot database issues, and propose data-driven strategies and predictive models.
Summary Generated by Built In

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

Skills Required

  • Bachelor's degree (B.S/B.A) and 8+ years related experience or equivalent combination of education and experience
  • Proficient in data engineering on GCP, AWS, and Azure
  • Proficient in Python, R, and TensorFlow
  • Experience working with Big Data and performing exploratory data analysis (EDA)
  • SQL skills including creating/modifying macros and building dashboards using SQL
  • Experience using AI/ML and Generative AI for analytics, modeling, and data science
  • Ability to independently analyze large datasets, identify trends, gaps, and patterns
  • Excellent analytical, written and verbal communication skills
  • High level of attention to detail
  • Demonstrated judgment in selecting methods and techniques and networking across areas
  • Master's Degree in Business Administration, Computer Science, Mathematics, or related field

Astreya Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Astreya and has not been reviewed or approved by Astreya.

  • Healthcare Strength Health coverage includes multiple medical plan options plus dental and vision, complemented by FSAs, an EAP, disability and life insurance, and wellness programs. Feedback suggests these offerings provide solid core protection across many roles.
  • Wellbeing & Lifestyle Benefits Client-site amenities at some large tech campuses can add non-cash value such as meals or on-site perks that enhance the day-to-day experience. Wellness Days and access to learning resources and tuition reimbursement further support overall wellbeing.
  • Flexible Benefits Choice among medical plan types and tax-advantaged accounts enables some customization to individual needs. Some roles also offer remote or flexible work, adding practical flexibility to the total package.

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The Company
HQ: San Jose, California
1,958 Employees
Year Founded: 2001

What We Do

Astreya is the leading IT solutions provider for some of the world's most recognizable and innovative organizations. Our journey started in 2001 in the heart of Silicon Valley and reaches thirty-three countries with over 2200+ IT professionals. We enable businesses to make better decisions, achieve operational efficiency and gain a competitive edge. The Astreya advantage is centered around focus and clear- vision, world-class talent, and innovative technology: Creativity is in our DNA. Our dedicated Software and Service Innovation teams bring best-in-class technology and tools to bear for our clients.

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