- Handsonimplementation of Machine Learning use cases such as customersegmentation for loyalty programs propensity modeling to roll outmarketing campaigns time series forecasting for demand predictionand assortment optimization.
- Deploy maintainand monitor Machine Learning models with Dataiku. Design scenariosschedule jobs to run batch models and APIs for realtimemodels
- Prepare and carry out presentationswith the key business stakeholders involved in the projects to showthe results of ML models to nontechnical audience and how theybring value to the business.
- Gather businessrequirements from business users and being able to technicallyimplement them to meet the requirements.
- Defining business requirements document them create wireframecommunicate to developers monitor development conduct internaltesting and validate KPI values & formulas.
- Own and develop relationship with partners work withthem to optimize and enhance our integration.
- Help in designing documenting and maintaining systemprocesses
- Report on common sources oftechnical issues or questions and make recommendations to productteams
- Communicate key insights and findingsto product team
- Respond to AdHoc businessanalysis and conduct business analytics using complex SQLqueries
- 3 years of priorexperience in a Data Scientist role
- Overall 6years of experience in implementing analytic solutions.
- Expertise in Python and any one of the associatedframeworks (scikitlearn Tensorflow PyTorch h2o etc.) for ML andDL
- Expertise in the concepts of Statisticsand Machine Learning
- Knowledge in MLOps(deployment of models model performance monitoring data drift restAPI integration simulations etc.)
- At least 3Machine Learning project implementation experience inproduction
- Intermediate knowledge of DeepLearning techniques
- Comfortable with DataEngineering skills ideally on Azure or AWS
- Good knowledge in SQL
- Good to have PowerBIknowledge (or any other visualization tool)
- Building workflows in Dataiku
- Experience andknowledge in the retail sector
- Excellentcommunication and collaboration skills able to explain complexeffects and impacts of ML/DL insights in simple businessterms.
- Be part of aninternational and talented team enjoying an excellent workenvironment where people are passionate about what theydo.
- Attractive salary according to experienceand knowledge provided.
- Flexible workingschedule
- Possibility to grow inside theteam.
data scientist - Abu Dhabi, United Arab Emirates - Talent Pal
Description
ClearPeaks is a specialistconsulting firm delivering services and solutions in EverythingData Business Intelligence Advanced Analytics Big Data &Cloud and Web & Mobile Applications. Founded in 2000 wehave been a trusted partner to our customers in over 15 industryverticals and functional areas with operations spanning EuropeMiddle East the United States and Africa.
ClearPeaks is part of astrategic alliance with synvert a group of six successfulfullservice Data & Analytics (D&A) consulting firmswith a clear goal to become one of EMEAs largest D&Aconsulting companies.
Our services are based on the latestmarketleading enterprise technology platforms and delivered by adynamic team of expert consultants. Our strength lies in ourability to efficiently deliver customer insight and value gainedthrough our decades of experience with realworldchallenges.
As aData Scientist you will be responsible for identifying advancedanalytics opportunities and implementing their solutions throughdata mining and machine learning. Also deliver BI and AdvancedAnalytics solutions on Cloud by using big data technologies whenappropriate. We are seeking a highly talented selfmotivated andcustomeroriented candidate to join us.
RESPONSIBILITIES
REQUIREMENTS
OUR OFFER TO YOU
Job type:
Permanent
Location:
This job can be based in our offices in Abu DhabiBarcelona Reus and Zagreb or as a remote role in Spain orCroatia.
Years ofexperience:
3
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