Sapient Hiring Data Science Manager Off Campus Drive 2020 Data Science Manager Job in Sapient Global Markets Job:
Job Description for Sapient Hiring Data Science Manager
As an evangelist, you will partner with leaders in various divisions, industries and geographies, in order to ensure that increasingly more solutions we bring to the market are data driven and are supported by a strong data sciences group. Core areas of focus for this group includes applications in customer segmentations, media and advertising optimization solutions, developing recommender systems, fraud analytics, personalization systems and forecasting.
What are we looking for in you?
- Design and implement high performance and robust analytical models in support of product and project objectives
- Research and bring innovations to develop next generation solutions in core functional areas related to digital marketing & customer experience solution blocks – Content and Commerce , AdTech, Customer Relationship Management (CRM), Campaign Management
- Provide technical thought leadership, coaching and mentorship in the field of data science in working with engineering and other cross functional teams
- Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines
- Design controlled experiments to measure changes to new user experience
- Segment customers and markets to improve targeting and messaging of product recommendations and offers
- Direct research and evaluation for open source and vendor solutions in the analytics platforms space to guide solutions
- Be responsible for solution and code quality including providing detailed and constructive design and code reviews
- Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams and identify relevant process efficiencies
- Assess client needs and requirements to ensure your team is adopting the appropriate approach to solve client challenges
Do you have the following?
- Demonstrate proficiency with various approaches in regression, classification, and cluster analysis ? Demonstrate proficiency in deep learning.
- Must have experience ML models in R/ Python
- Demonstrable strength in programming in Python/R/Scala
- Experience with one or more data visualization tool / library such as Tableau, R Shiny, Seaborn, etc.
- Good understanding of applied statistics, such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences.
- Expertise in SQL programming languages and familiarity with Hive, PIG
- Demonstrated Experience in at least in one of the following NLP/computer vision/operations research/data mining/ML/AI
- Experience working in a Unix/Linux environment for automating processes with shell scripting
- Excellent quantitative skills and the ability to tell a story using data
- Strong communication and presentation skills
- Ability to initiate and drive projects from conception to completion with minimal guidance
- Passionate about turning data into actionable insights
- Proven ability to perform in-depth analysis, compile and interpret results
- Ability to differentiate and apply models on the problem statement
- Should Know what model to apply and in what situation to apply (know advantages and dis advantages of ML /DL techniques)
Nice to Have: Sapient Hiring Data Science Manager
- Expertise in application of machine learning algorithms on large datasets
- Experience with large datasets and distributed computing (Hadoop, Spark) a plus
- Experience accessing data, map-reduce programming style and training models in Hadoop, Spark
- Experience in deploying models in cloud platforms such as Google Cloud/Microsoft Azure/AWS is a plus
- Nice to have knowledge of NoSQL DBs like MongoDB, Cassandra and HBase
- Contribution to research community reflected in publications in top conferences/Kaggle competitions
- Knowledge of Reinforcement Learning
Personal attributes: Sapient Hiring Data Science Manager
- Strong written and verbal communication skills
- Articulation skills
- Good team player
- Self-starter who requires minimal oversight
- Ability to prioritize and manage multiple tasks
- Process orientation and the ability to define and set up processes
Required Candidate profile
Education:
- BS/MS in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field. Advanced degrees preferred
- Ph.D. in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field
Salary: Not Disclosed by Recruiter
Industry: IT-Software / Software Services
Functional Area: Analytics & Business Intelligence
Role Category: Analytics & BI
Role: Analytics Manager
Employment Type: Full Time, Permanent
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