3A/3B_Data Scientist/Sr.Data Scientist

Job description

Company Overview Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 2,500 people helping clients from our six offices across US 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, financial services, 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 are 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.
3A/3B_Data Scientist/Sr.Data Scientist
Role Description: Senior Data Scientist

The ideal candidate is a hands-on Data Scientist with experience in developing Data Science/ML models for real world use cases. They must be at ease working with on-prem Big Data ecosystem in an agile environment with little supervision. The person should be a self-motivated person with a passion for problem solving and continuous learning.

Role and responsibilities

  • Own and deliver problem solving in Data Science engagements with Fortune 500 clients
  • Work on a team with diverse clients and industries delivering analytics solutions and help clients turn data into actionable insights that drive tangible outcomes
  • Support Client leadership teams to help make better decisions.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions and help establish near-term and long-term strategies.
  • Lead the development of predictive models and machine-learning algorithms
  • Enhance data collection procedures by assessing the effectiveness and accuracy of data sources and data gathering techniques
  • Spearhead initiatives to process, clean, and verify the integrity of data used for analysis
  • Communicate complex ideas across all levels of organization using clear data- visualizations techniques
Technical skills requirements

The candidate must demonstrate proficiency in,

  • Strong knowledge of statistical techniques and expertise in use of statistical packages , experience with ML Algorithms
  • Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiences
  • Highly skilled in data and math/statistical methods (i.e. modeling, algorithms)
  • Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
  • Experience in processing, filtering, and presenting large quantities of data
  • Actively involved in Feature Engineering, Model Building, Data Preparation & Model Productionalization
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Nice-to-have skills

  • Proficiency in statistical modelling with R and creating data driven visualizations and web applications using R-Shiny. Experience with cloud technologies like AWS, Azure etc. would be a strong plus.

  • Bachelors (Masters preferred) degree in Math’s, Stats, or Comp. Sc. etc. with 6-8+ years relevant quantitative & qualitative research and analytics experience, comfortable working with databases and large datasets
Company Value Company Value

We are an Equal Opportunity Employer. We 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.

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