Data Scientist PCON & Architect
At a glance
Mid-level Data Science role at Implify Inc. Newark · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
Implify Inc has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Turn client needs into analytics use cases, then work with a team to deliver solutions
- Build predictive models and optimization approaches, using data mining, statistical modeling and pattern recognition
- Create business measures and the systems needed to track them
- Guide clients and internal teams on suitable analytics platforms and methods for complex problems
- Develop at least one analytics prototype, product or other reusable asset
What you bring
- At least seven years in IT or business intelligence and analytics consulting
- A bachelor’s degree or foreign equivalent, or qualifying progressive specialty experience in place of education
- Applied experience building and supporting statistical or machine-learning models on large datasets, including preparing raw data for analysis
- Fluency with R, SAS, Matlab, Python or equivalent statistical analysis software
Who this fits
This role suits someone who can turn open-ended business problems into predictive analytics and advise clients and internal teams on technical approaches. The posting describes a full-time permanent position with 100% travel.
From the employer
Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.
Position: 1
Job Title: Analytics – Principal Consultant
100% Travel
Duration : Full Time Permanent
Qualifications Basic
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Must Have Skill/Competency:
•Domain – Retail and/or CPG domain Knowledge
•Retail Execution – Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
•Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
•Data Understanding of Sales, Inventory, Store, Product and Promotion Data
•Ability to translate business requirement to analytical model
•Communicate directly with business users
•Technical Skills –SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
•Hadoop, Spark, Python
•Tableau/Spotfire/Qlikview
•Nielsen/IRI/Market Research Data understanding
Job responsibilities:
•Understand business requirement from client and translate it to appropriate Analytics use cases
•Work in a team environment to deliver analytics solution to client
•Define new business metrics as required and build measurement systems as needed
•Enjoy designing, develop and deploy state of the art, data-driven predictive models
•Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling,
•Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics – Data Scientist - Architect
100% Travel
Duration : Full Time Permanent
Skillset: Analytics ,
Domain: Business Intelligence
Qualifications Basic
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Qualifications Preferred
• MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
• 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
• Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
• Knowledge of Perl, Python or Ruby; experience with Java, C or C++
• Experience with Apache Spark and Scala
• Knowledge of Clojure or Julia for statistical learning and optimization algorithms
• Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
• Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
• Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
• Define new business metrics as required and build measurement systems as needed
• Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
• Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
• The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
All your information will be kept confidential according to EEO guidelines.
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