Solutions Architect (51130)

Incedo Inc
United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Data Cleansing Apache Hadoop Apache Hive Statistical Hypothesis Testing Python (Programming Language) Machine Learning Regression Analysis Tensorflow SQL Databases Reinforcement Learning
+8 more
Supervised Learning Data Processing Apache Spark Keras Information Technology Data Analytics Unsupervised Learning Programming Languages

Job description

Company OverviewIncedo is a US-based consulting, data science and technology services firm with over 3000 people helping clientsfrom our six offices across US, Mexico and India. We help our clients achieve competitive advantage throughend-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, anddesign capabilities coupled with deep domain understanding. We combine services and products to maximizebusiness impact for our clients in telecom, Banking, Wealth Management, product engineering and life science& healthcare industries.Working at Incedo will provide you an opportunity to work with industry leading client organizations, deeptechnology and domain experts, and global teams. Incedo University, our learning platform, provides amplelearning opportunities starting with a structured onboarding program and carrying throughout various stages ofyour career. A variety of fun activities is also an integral part of our friendly work environment. Our flexiblecareer paths allow you to grow into a program manager, a technical architect or a domain expert based on yourskills and interests.Our Mission is to enable our clients to maximize business impact from technology byHarnessing the transformational impact of emerging technologiesBridging the gap between business and technologyRole DescriptionRole Description:As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.Roles & Responsibilities:Developing and implementing machine learning models and algorithms to solve complex business problemsConducting data analysis and modeling using statistical and data analysis toolsCollaborating with other teams to ensure the consistency and integrity of dataProviding guidance and mentorship to junior data science and modeling specialistsPresenting findings and recommendations to stakeholdersTechnical SkillsSkills Requirements:Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.Understanding of big data technologies such as Hadoop, Spark, or Hive.Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.Must understand the companys long-term vision and align with it.Should be open to new ideas and be willing to learn and develop new skills.Should also be able to work well under pressure and manage multiple tasks and priorities.Nice-to-have skillsQualificationsQualifications7-9 years of work experience in relevant fieldB.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferredCompany ValueWe value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Requirements

  • Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
  • Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
  • Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
  • Understanding of big data technologies such as Hadoop, Spark, or Hive.
  • Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
  • Must understand the companys long-term vision and align with it.
  • Should be open to new ideas and be willing to learn and develop new skills.
  • Should also be able to work well under pressure and manage multiple tasks and priorities., * 7-9 years of work experience in relevant field
  • B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

About the company

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients

from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through

end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and

design capabilities coupled with deep domain understanding. We combine services and products to maximize

business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science

& healthcare industries.

Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep

technology and domain experts, and global teams. Incedo University, our learning platform, provides ample

learning opportunities starting with a structured onboarding program and carrying throughout various stages of

your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible

career paths allow you to grow into a program manager, a technical architect or a domain expert based on your

skills and interests.

Our Mission is to enable our clients to maximize business impact from technology by

  • Harnessing the transformational impact of emerging technologies
  • Bridging the gap between business and technology

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