Search for the ideal data science positions to join this October. Due to increased decision-making based on data, data science positions are critically needed in organizations. Here are the top 10 data science jobs that one can apply for on October 18, 2024, as they are highly demanding and have great prospects coupled with good packages.

Data Scientist – Google – Remote 

Google remains the leading technological company in the world. Google Company is looking for more data scientists to work on machine learning models that will improve its products. The job entails processing large quantities of data and information, making forecasts, controls and proposing strategies. The candidate should have good knowledge of Python, TensorFlow, and big data platforms and tools.

Key Requirements:  

• Different specialities include competency in SQL, Tableau and statistical modelling.  

• In particular, the candidate has to have at least 2+ years of experience in data mining and data visualization.  

• Awareness of the respective measurements that define user behaviour.

Salary Range: $130, 000 – 160, 000 per annum.

Machine Learning Engineer – Amazon Web Services (AWS) – Seattle, WA 

Currently, AWS is recruiting machine learning engineers whose duties will be to implement highly scalable artificial intelligence solutions. This position will involve developing more models to improve the AWS cloud services performance.

Key Requirements:

• Familiarity with some of AWS features such as SageMaker  

• The candidate must have good knowledge of programming languages such as Python, Java, and Scala.  

• It involves cloud computing and dealing with large volumes of data.

Salary Range: $140,000 — $170,000 per year.

AI Research Scientist – OpenAI (San Francisco, CA):

OpenAI is currently recruiting research scientists with high levels of experience to contribute towards the development of artificial intelligence. The role includes working on the creation of new algorithms as well as the progression of AI in natural language processing and generative models.

Key Requirements:  

• Good understanding of Deep Learning and Reinforcement learning  

• Experience in the use of PyTorch or TensorFlow  

• Opportunity to publish papers in the most popular AI conferences

Salary Range: Between $170,000 and $200,000 per year.

Quantitative Analyst – Goldman Sachs (New York, NY):

Currently, Goldman Sachs has vacancies for people who would help to enhance the quality of quantitative models. The job entails trend analysis in the market, creating algorithms for high-frequency trading, and also portfolio optimization.

Key Requirements:  

• Additional understanding of statistical and probabilistic models, as well as financial modelling.  

• Familiarity with some languages such as R or Python  

• Fintech approximately means: Knowledge of financial markets

Salary Range: Between $160,000 and $190,000 per annum.

Data Architect – Tesla (Palo Alto, CA)  

Tesla requires data architects to engineer big solutions for data for its programs in self-driving cars. The position involves proposing data structures having insight for real-time vehicle big data and ensuring that it is scalable and secure.

Key Requirements:  

• Knowledge of data architecture and cloud infrastructure  

• Familiarity with distributed systems and big data frameworks  

• Fluency in programming languages such as Python, Scala, and/or Java

Salary Range: Range from $145,000 to $ 175,000 per year.

Business Intelligence Analyst – Microsoft (Redmond, WA) 

Microsoft is looking for business intelligence analysts to help with Azure its cloud platform. This includes creating views, reporting, and selling suggestions to transform the business.

Key Requirements: 

• PowerBI: Expert level, Excel: expert level, SQL: expert level  

• Familiarity with the analytical offerings of Azure  

• Capacity to bring business requirements within the IT environment.

Salary Range: between $120000 and $150000 per annum.

Natural Language Processing Engineer – IBM ( Armonk, New York) **  

The company investing in human capital recruiting more NLP engineers as it strengthens its Watson AI services. This role deals with developing language models to be used in the health, finance and customer support sectors.

Key Requirements: 

• The research indicates that technician has sufficient experience in natural language algorithms.  

• Ideally, the candidate should have experience with BERT, GPT or other similar models  

• Good knowledge of the Python programming language and machine learning libraries

Salary Range: $140,000 – $170,000 per annum.

Chief Data Officer – Uber (San Francisco, CA)  

Uber is currently looking for a Chief Data Officer who will oversee the company’s data operations worldwide. It is a senior-level role that entails being in charge of data management, people management of data functions and leading data operations across the firm.

Key Requirements:  

Objectives within five years demonstrated leadership in data strategy and governance  

Good qualities of the data management and data architecture  

Basic administration experience, excellent oral and written communication, and interpersonal skills.

Salary Range: $ 200,000 – $ 2500.00 per year.

Conclusion  

The demand for professionals with data skills remains high, and organisations of all industries seek to hire Data scientists. Many of these centres being in the leading tech firms and financial institutions means that these positions present very well-compensated career options for those with the right qualifications. Good salaries and innovative work – it’s high time to apply for the best data science vacancies.