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每日一投 | Data Scientist & Business Analyst Job Hunting 429

大数据应用  · 公众号  · 大数据  · 2019-10-19 08:32

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Oct.

18

Data Application Lab 自2018年7月9日起,每天和你分享讨论六个数据科学(DS) 和商业分析(BA) 领域的最新工作机会,竭尽所能帮助大家拿到 Dream Offer。


希望积极寻求相关领域工作的你每天关注我们的工作申请机会,如果有任何问题欢迎通过文章或者后台留言的方式与大家讨论。

Day

329

DS Job Hunting #001

Basic Info:


Data Scientist

Full-time

Roku


Key Requirements:


- 4+ years of experience as a data scientist in entertainment, technology, finance, or ad-tech

- Entertainment industry experience preferred due to the programming nature of this role

- Excellent coding ability in R, Python, Scala

- Working knowledge of Big Data architecture and excellent SQL

- Applicable knowledge of probability theory

- Experience across a broad range of machine learning algorithms and expertise with at least a few

- Experience designing control-test experiments

- Academic background in math, physics, computer science, economics

- Proven track record building end to end data science products

- Strong communication and high-resolution view of the business context


Application Link:


https://www.glassdoor.com.hk/job-listing/data-scientist-roku-JV_IC1146873_KO0,14_KE15,19.htm?jl=3273450073&ctt=1571030792271&countryRedirect=true

DS Job Hunting #002

Basic Info:


Senior Data Scientist

Full-time

Collabera


Key Requirements:


- Strong experience working as a Data Scientist within a consumer-facing analytical envrionment

- Strong experience with Python/R

- Exposure to Cloud Environments, AWS (cutting edge preferred, Kinesis, etc)

- 2+ years of experience with data processing platforms - Spark, Spark Streaming, Spark ML, etc

- Advanced experience with SQL, including SQL Subqueries

- Experience with Tensorflow & Machine Learning


Application Link:


https://www.glassdoor.com.hk/job-listing/senior-data-scientist-collabera-JV_IC1146821_KO0,21_KE22,31.htm?jl=3384531894&ctt=1571030863263&countryRedirect=true

DS Job Hunting #003

Basic Info:


Senior Data Scientist

Full-time

PatientPop


Key Requirements:


- 4+ years in a data-intensive role (or equivalent education and experience)

- Sound knowledge of analytical, statistical and machine learning methods

- Proven ability to devise creative and insightful solutions to business challenges

- Experience productionalizing models

- Proficiency in SQL and Python

- Excellent written and verbal communication skills

- Proven ability to explain technical concepts to non-technical stakeholders

- Curious, motivated, self-starter, team player

- Passionate about high quality, impactful data analysis


Application Link:


https://www.glassdoor.com.hk/job-listing/senior-data-scientist-patientpop-JV_IC1146873_KO0,21_KE22,32.htm?jl=3325771783&ctt=1571030890372&countryRedirect=true

BA Job Hunting #001

Basic Info:


IT Business Analyst

Full-time

Pacific Gas And Electric


Key Requirements:


Minimum requirements:

- BA/BS in Computer Science/ Information Systems, Business, Engineering, etc. or equivalent work experience.

- 2 years of experience in similar or related job functions (Information Technology or Business) that could be substituted by an advanced degree.

- Participation in projects of medium complexity.


Desired requirements:

- Typically has 2+ years of experience in similar or related job functions (Information Technology or Business) that could be substituted by an advanced degree.

- Participation in projects of high complexity.

- Continuous education in IT and business specific areas.


Application Link:


https://www.glassdoor.com.hk/job-listing/it-business-analyst-pacific-gas-and-electric-JV_IC1147401_KO0,19_KE20,44.htm?jl=3382857514&ctt=1571023381296&countryRedirect=true

BA Job Hunting #002

Basic Info:


Senior Business Analytics Manager

Full-time

Pantheon


Key Requirements:


- 4+ years of SaaS industry experience (Business Analysis, Product Analytics, Data Science, Finance, or Sales Operations)

- Strong SQL skills and experience querying large data sets

- Working knowledge of statistical methods, including ability to speak to statistical significance, assign confidence levels to predictions, and conduct regression analysis

- Experience building out dashboards/self-service systems that allow lay users to access and make decisions using data







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