Data Scientist and Data Engineer
At a glance
Mid-level Data Science role at SQUIRCLE IT CONSULTING SERVICES PVT. LTD. Chennai · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and assess statistical models and algorithms to find useful patterns in data and improve predictive results
- Explore data from different sources, test assumptions and recommend how teams can use the findings
- Turn prototypes into product features by working with engineers on implementation guidance
- Explain conclusions to development, product management, business and IT teams to shape decisions
What you bring
- At least five years in a related field, including three years or more working as a data scientist
- A bachelor’s degree, preferably in statistics, computer science, engineering or applied mathematics, or equivalent education and experience
- Strong statistical modeling, algorithm development and data-mining skills, plus programming in R and Java or C++
- Knowledge of fraud threats and the ability to translate requirements into system and functional designs
Who this fits
This mid-level, Chennai-based role is onsite and suits someone comfortable working independently on complex analytical problems. You’ll need to communicate findings and design requirements clearly with technical and business teams. The posting gives a maximum notice period of twenty-five days.
From the employer
Squircle IT Consulting Services is a leading IT solutions and services company established with a specific mission of providing comprehensive, top of the line solutions around ERP and BI. Since its inception in November, 2007, SQUIRCLE has emerged as a key player in ERP and BI space. SQUIRCLE brings together the best Technology and Domain expertise in PeopleSoft to offer a full spectrum of services ranging from Implementation, Business Consulting to Support.
NP::25 DAYS MAX.
Pay Rate::OPEN.
Location::Chennai.
Requirement 1:- Data Scientist (5-7 yrs of experience)…….Mandatory and preferred skills marked in blue
ESSENTIAL FUNCTIONS
Develop, analyze and program algorithms based on advanced algorithms and statistical models.
Extend, develop, program and implement new algorithms and underlying mathematical theory.
Utilize analytical skills to help design and implement core components of algorithms and models.
Apply knowledge of statistics, machine learning, programming, data modeling, and advanced mathematics to recognize patterns, identify opportunities, and make discoveries leading to prototype development and product improvement.
Use an analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Work with engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Has a strong business acumen, coupled with the ability to communicate findings to both business and IT teams in a way that can influence how our organization approaches a business challenge.
Selects the right problems that have the most value to the organization.
Is inquisitive and can stare at data and spot trends by exploring, asking questions, doing “what if” analysis, questioning existing assumptions and processes.
Will explore and examine data from multiple disparate sources. The data scientist will sift through all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem.
Reviews data from many angles, determines what it means, then recommends ways to apply the data.
Communicates informed conclusions and recommendations to the development and product management teams.
MINIMUM QUALIFICATIONS
Bachelor’s degree (Statistics, CS, Engineering, or Applied Mathematics Preferred)
Minimum of five years of experience in related field; including a minimum of 3 years working as a Data Scientist, or
An equivalent combination of education and experience sufficient to successfully perform the essential functions of the job.
KNOWLEDGE AND SKILLS
· Has broad expertise or unique knowledge and contributes to company objectives as a subject matter expert (SME). Works on highly complex and diverse projects. Works on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Exercises independent judgment in selecting methods, techniques and evaluation criteria for obtaining solutions.
· Superior knowledge of statistical modeling and analysis, algorithm development, and data mining.
· Superior communication and customer interaction skills.
· Ability to work with managers and engineers to translate requirements into design.
· Excellent knowledge in fraud threats.
· Excellent programming skills in R / Java or C++.
· Excellent grammar and writing skills.
· Able to define system and functional requirements.
· Able to meet aggressive deadlines.
· Able to interact with and communicate well with other technical associates.
Hi,
We have multiple openings for different location, for different clients. If you are interesting in plz find the attached details.
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