Data scientist
Data scientist
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Job Description
used in the discipline of statistics
Web Address: OffSite (Relevant Only for US Residents)
right now I work fulltime.
Our fast growing and creative company uses data science and modern technologies to make informed business decisions and provide our customers unforgettable experiences. Our aim is to increase the value of data in helping to solve challenging corporate issues and promoting development. In order to shape the future with innovative ideas and datadriven insights we are expanding our team and are looking for a talented Data Scientist to join us.
Data analysis will find you engross if your aim as a data scientist is to assist companies in making more wise strategic judgments. Using modern analytics machine learning models and statistical techniques will help you to develop significant answers to practical challenges. Your knowledge of predictive analytics data manipulation and model development will enable you to guide multidisciplinary teams toward datadriven decisions promoting progress.
Fundamental obligations:
Create test and apply machine learning models and algorithms to simplify difficult corporate problems.
Analyzing vast volumes of data for trends and patterns will help one find ideas for improving operations and guiding corporate strategy.
Based on past events project future results behavior and trends.
Discover what information your business partners require and offer them perceptive insights to support their strategic decisions.
Clearly and convincingly deliver results and datadriven suggestions to stakeholders without technological experience.
Work with data engineers to design scaleddown data pipelines strengthening the data architecture.
Exploreatory data analysis (EDA) allows one identify significant variables and characteristics for model construction.
Maintain tabs on the models performance and make adjustments as needed to attain best outcomes.
Stay uptodate in data science and machine learning with the newest tools techniques and trends.
Required Competencies:
For inhabitants of the United States alone.
Experience as a Data Scientist Data Analyst or someone with a background in machine learning statistical analysis or predictive modeling is desired.
competence with data manipulation tools such as Pandas NumPy etc. as well as excellent programming skills in R Scala or Python.
resources for data visualization (e.g. Tableau Power BI etc. knowledge in machine learning frameworks (e.g. TensorFlow Scikitlearn Keras etc. quite competent in the fields of hypothesis testing experimental design and statistical analysis.
knowledge of SQL and background working with enormous numbers of distributed systems and relational databases.
One advantage is knowledge with huge data systems like Hadoop and Spark as well as cloudbased solutions like AWS Google Cloud and Azure.
extraordinary aptitude to surpass barriers and will to undertake challenging difficulties.
Having outstanding communication skills is crucial when trying to express challenging ideas and discoveries to those who arent specialists in the field.
in the ever evolving field of data science a passion of creativity and lifetime learning.
Why are we here
Competitive compensation and benefits package with room for remote work flexibility.
Potential for utilizing cuttingedge data science techniques to generate innovative concepts.
a place that fosters harmony collaboration and originality.
Opportunities for professional growth that prioritize ongoing education throughout life.
potential to make a substantial impact on the company by contributing to the development of datapowered strategies.
Please submit your application if you are a data enthusiast with a strong desire to solve complex problems by utilizing advanced analytics and machine learning. Join our innovative team and help us use data to propel our success.
You should highlight your outstanding qualifications for the position in your cover letter portfolio and resume. We are super stoked to be reviewing your submission.
Employment Type
Full Time
