Data Scientist - Beinex
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Job Description
Highlights
5 Years
Immediate or max 30 days Notice Period
B.Sc./ B.Tech. in Computer Science or Engineering Graduate in a relevant field OR Graduate Degree in Data Science or any other quantitative field OR PG Degree in relevant fields (not mandatory)
Job Description
We are looking for a Data Scientist to analyse large amounts of raw information to find patterns that will help our clients solve the most pressing problems in business. In this role you should be highly analytical with a knack for analysis Maths and Statistics. Critical thinking and problemsolving skills are essential for interpreting data. We also want to see a passion for machinelearning and research.
Responsibilities
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data.
- Analyse large amounts of information to discover trends and patterns.
- Build predictive models and machinelearning algorithms.
- Combine models through ensemble modelling.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
Key Skills Requirements
- Experience in data mining
- Understanding of machinelearning and operations research
- Knowledge of R SQL and Python; familiarity with Scala Java or C is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Problemsolving aptitude
- Excellent communication and presentation skills
- Knowledge and experience in statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc.
- Experience querying databases and using statistical computer languages: R Python SLQ etc.
- Experience using web services: Redshift S3 Spark DigitalOcean etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression simulation scenario analysis modeling clustering decision trees neural networks etc.
- Experience analysing data from 3rd party providers: Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc.
- Experience with distributed data/ computing tools: Map/ Reduce Hadoop Hive Spark Gurobi MySQL etc.
- Experience on Deep Learning models for audio and visual data analytics
Perks: Careers at Beinex
Comprehensive Health Plans
Learning and development
Workation and outdoor training
Hybrid working environment
Onsite travel Opportunity
Beinex Branded Merchandise
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Employment Type
Full Time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
