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Data science jobs are taking over the global tech market with different kinds of professional roles like chief data scientist jobs including senior data scientist, and other roles such as data analyst, data scientist, data engineer, and many more. There are multiple data science companies ready to open chief data scientist jobs with lucrative salary packages. There is a plethora of responsibilities for a senior data scientist in these big data jobs, the first is to drive actionable insights from different kinds of data structures. Big data jobs or data science jobs are helping a lot in driving customer engagement efficiently and effectively. Data science companies are leveraging BI tools and data visualization tools for data science jobs. These big data jobs are in high demand from aspiring data professionals with or without degrees. Thus, let's look out for the top ten chief data scientist jobs that are available to apply for in 2022 as a senior data scientist.
Location: Hyderabad, India
Responsibilities: The data scientist needs to design and develop complex mathematical, statistical, and optimization models, apply them to define strategic and tactical needs and drive actions at scale with scientifically-based methods while designing experiments, testing hypotheses, and prototyping models with programming languages.
Qualifications: The candidate must have an M.S./Ph.D. in any technical field with more than five years of hands-on experience in the data science field, machine learning, forecasting models, and A/B testing.
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Location: Bangalore, India
Responsibilities: The data scientist should build measurement and planning solutions to support reproducible data science projects. It is essential to support research on methodology transforming the cross-platform audience measurement while addressing the quality escapes and fixing issues in production code.
Qualifications: The candidate must have a degree in any technical field with three to six years of hands-on experience with proficiency in Python, SQL, Git, cloud computing, Unix, and code documentation.
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Location: Bangalore, India
Responsibilities: It is essential to design and deploy machine learning-based solutions for development through the identification of the right approach, algorithms, and strategies. There should be teamwork for the identification of the data source as well as ingestion strategy pre-processing needs.
Qualifications: The candidate must have a minimum of a Bachelor's degree in IT or any technical field with more than 12 years of experience in programming languages, data mining, BI tools, and machine learning techniques.
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Location: Bangalore, India
Responsibilities: The data scientist should drive meaningful insights from terabytes of data by leveraging data science tools. It is needed to develop PoC to take forward the solutions into pipelines and APIs.
Qualifications: The candidate must have a Master's degree like M.Sc. in Engineering or Technology with four years of practical experience or a Ph.D. in AI with proficiency in programming languages, machine learning libraries, and cloud computing.
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Location: Bangalore, India
Responsibilities: The data scientist should build algorithms, statistical models, and analytical solutions, design data visualizations of data model performance, as well as be responsible for setting up the data analytics model design. The focus needs to be on the intensive use of significance testing, sampling, and descriptive as well as multivariate statistics.
Qualifications: The candidate must have a Bachelor's degree in any technical field with sufficient experience in data management and data science field.
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Location: Pune, India
Responsibilities: The data scientist should formalize the business needs in a descriptive datasheet with the implementation and documentation of data analysis. The models must be validated and decision deployment must be taken from the roll-out strategy.
Qualifications: The candidate must have a Bachelor's degree in any technical field with sufficient experience in data management and data science field.
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Location: Bangalore, India
Responsibilities: It is essential to mine and analyze data by applying statistical methods, developing new metrics, and translating meaningful insights into actionable recommendations. There should be the development of customized data models and algorithms to create statistical models and optimize frameworks efficiently and effectively.
Qualifications: The candidate must have a Master's/Ph.D. in any technical field with five to eight years of experience with Docker, API, web applications, BI tools, programming languages, data preparation, and machine learning algorithms.
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Location: Mumbai, India
Responsibilities: The data scientist should focus on leading multifaceted analytic studies against large and small data volumes, co-developing an analytics roadmap for the business domain, interpreting and data analysis with exploratory statistical and mathematical techniques, as well as deploying end-to-end scalable models. It is essential to identify new data and optimally communicate the analytics approach.
Qualifications: The candidate must have a Bachelor's/Master's/Ph.D. in any technical field with a minimum of six years of experience in programming languages, data pipelines, supervised and unsupervised modeling, Bayesian statistics, and NLP.
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Location: Bangalore, India
Responsibilities: The data scientist is needed to drive critical data science projects to help in defining the vision and strategy for an MFP data science organization and build state-of-the-art solutions from open-ended and high-impact problems. There should be a contribution to the company with blogs, technical papers, and many more.
Qualifications: The candidate must have a Master's/Ph.D. degree in any technical field with more than ten years in data science with proficiency in programming languages, big data tools, and logistics.
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Location: Gurugram, India
Responsibilities: The data scientist should analyze data by utilizing data mining, statistical, and machine learning techniques while applying algorithms or architectures. It is essential to utilize a cloud setup to extract processed data for statistical modelling and big data analysis while articulating complicated data science models.
Qualifications: The candidate must have a Bachelor's/Master's degree in any technical field with four to six years of working experience and knowledge of functional analytics, statistical modelling, BI, and big data technologies.
Click here to apply
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