Hottest Data Science Job Openings Around The World, June 2021




by Apoorva Komarraju

June 15, 2021

Data Science

Data science professionals, check out these jobs by industry giants

The demand for data science professionals was huge in 2020, and it is only growing in 2021.

While industry giants have embraced the capabilities of data science, small and medium-sized businesses have started to leverage the power of data science to improve their business processes. Owing to digital transformation, data science practices help businesses make intelligent and data-backed smart decisions, formulate strategies to make better products and solutions, manage large amounts of data efficiently to get valuable insights and predict outcomes. To utilize most of these features to increase ROI, organizations are rapidly hiring data science professionals.

If you are a data scientist or analyst, check out these hottest job openings from companies around the globe and look for your next challenge.

 

1. Data Analyst, Revenue Intelligence

Company: Twitter

Location: San Francisco, USA

Responsibilities

  • Develop strong collaborative relationships with key stakeholders in Sales, Finance, Operations, Engineering, IT, and across the company.
  • Partner with Product, Engineering, IT, and Operations teams to design, develop & deliver robust and scalable reporting automation.
  • Define data systems and tools with product and engineering to produce revenue dashboards and other business intelligence reports.
  • Provide daily revenue insights to the CFO and executive team.
  • Develop scalable reporting solutions for non-finance stakeholders.
  • Simplify complex problems & huge data sets to extract non-obvious insights.
  • Be part of a great team, but capable of operating independently – managing relationships, deliverables, and expectations with your business partners.
  • Be personable, approachable, and able to connect with each and every person on the team and throughout the business.
  • Remain detail-oriented while working across a wide variety of projects.

Qualifications

  • Bachelor’s degree required, preferably in Mathematics, Computer Science, Statistics or a Business-related degree.
  • At least 4 years of work experience.
  • Advanced experience with SQL and pulling data from relational databases.
  • Tableau/front end design for Business Intelligence.
  • R or Python is a strong plus.
  • Superior Excel and proficient PowerPoint skills.
  • Web design and development and/or experience in Salesforce is beneficial.
  • Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners.
  • Possess a demonstrable grasp of Twitter, mobile (i.e., device and carrier markets), web, and media markets.
  • Exhibit an enthusiastic, can-do spirit and approach your work with curiosity, resilience, and a growth mindset in a fast-paced, dynamic, and often ambiguous work environment.
  • Have a demonstrated commitment to ongoing personal growth and development.
  • Passionate about technology and relish the opportunity to learn and apply new technical concepts to your work.
  • An expert in SQL
  • Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners.
  • Strong experience with Database Management systems and coding (Vertica, MySQL, Oracle, Python, Scala, Java) who enjoys solving complex and unstructured problems.
  • Deep experience in Demonstrated ability to simplify complex data sets and extract non-obvious insights with frameworks and analyses.
  • Strong ability to project manage and to remain detail-oriented while working with numerous stakeholders.
  • Knowledge of the digital ad space is a strong plus.

 

2. Product Insights Analyst

Company: Apple

Location: Cupertino, USA

Job Summary

The Product Insights Analyst is responsible for measuring and reporting on the hardware quality of Apple’s products. This is an exciting opportunity to directly impact Apple’s customers’ experience and support Apple products throughout their life cycle.

Responsibilities

  • A key resource to cross-functional teams.
  • Analyze, develop and monitor visualizations and alerting mechanisms to detect quality excursions.
  • Capability to handle multiple projects simultaneously and set priorities accordingly.
  • Participate in feedback loops to continuously improve product quality and the customer experience.
  • Articulate findings in the data and work closely with others to identify the root cause and implement corrective actions on products.

Qualifications

  • 5 years of experience in manufacturing or customer support analysis.
  • High proficiency experience with Tableau visualization, including large-scale dashboard deployment and maintenance.
  • High proficiency with SQL and relational databases such as Teradata.
  • Knowledge of coding/scripting in Python/Java.
  • API data access/pipeline development.
  • Data Science / ML experience.
  • Knowledge of FileMaker.
  • Knowledge of SAP material master, Bill of Materials a plus.
  • Solid communication skills
  • Expertise in converting business problems into technical solutions.
  • Attention to detail.

 

3. Data Analyst, Quality Systems and Data Science

Company: Tesla

Location: Fremont, USA

Job Summary

Tesla’s Quality Systems and Analytics team is looking for a key player on the team who can help drive quality data analytics and help cross-functional engineering organizations to provide opportunities in product quality improvements. The candidate should have experience working with large data sets, finding the best ways to engineer the data to help create critical KPI metrics, building innovative visualizations and dashboards all the while keeping in mind what improvements can be driven in underlying data systems.

Responsibilities

  • Analyze manufacturing, equipment, and vehicle data and extract useful statistics and insights about failures in order to drive meaningful improvements to product quality and customer experience.
  • Work effectively with engineers and conducting end-to-end analyses, from data requirement gathering to data processing and modeling.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Identify data sources where the potential value is not fully realized and invent new means with which to interact and gather insights from them.
  • Monitoring key product metrics, understanding root causes of changes in metrics
  • Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports.
  • Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis.
  • Maintaining existing data visualizations, data pipelines, and dashboard enhancement requests.
  • Automating analyses and authoring pipelines using SQL, Python, Airflow, Kubernetes based ETL framework.
  • Develop and maintain real-time data streaming and processing pipelines using Kafka.
  • Drive underlying data systems improvement by working with key cross-functional stakeholders.
  • Perform data quality validations to ensure data creation is as per the business needs and expectations.
  • Work with management to prioritize business and information needs.

Qualifications

  • BS/MS in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics, or other technical fields.
  • 3+ years of work experience in data analytics or engineering-related fields.
  • Strong knowledge of SQL and experience with multiple data architecture paradigms (MySQL, Microsoft SQL, Vertica, Oracle, Kafka, Spark).
  • Proficient at ad-hoc analysis using SQL queries, python data analysis packages (e.g.Pandas, Numpy), report writing, and presenting findings.
  • Proficient in data visualization techniques and tools using Tableau, Power BI, Superset, Matplotlib, Plotly, etc.
  • Knowledge of various data communication protocols (e.g. REST API, Websockets).
  • Strong understanding of various statistical techniques to effectively summarize data findings.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Strong knowledge of data warehousing concepts, data mining tools, and techniques
  • Knowledge of manufacturing and service operations preferred.
  • Able to work under pressure while collaborating and managing competing demands with tight deadlines.
  • Excellent communication skills and ability to work with different business stakeholders to understand, identify and translate business challenges into data projects.
  • A passion and curiosity for data and data-driven decision-making.

 

4. Data…



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