Dice is the leading career destination for tech experts at every stage of their careers. Our client, Stellent IT LLC, is seeking the following. Apply via Dice today!
Hi,
We have urgent role of Data Scientist | Remote. Please revert if you are interested to apply.
Title : Data Scientist
Location : Remote
Duration : 6-12 month contract-to-hire
Must Have 3 To 7 Years Of Experience
Job Description:
We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will analyze complex datasets to uncover actionable insights that drive strategic business decisions. You will leverage advanced statistical methods and machine learning techniques to develop predictive models and data-driven solutions. Additionally, you will collaborate with various departments to ensure data-driven decision-making across the organization and develop and implement data models and algorithms to solve complex business problems and improve our operations.
Job Responsibilities:
Qualifications
Professional Education And Experience
Minimum of bachelor's degree in Data Analytics, Data Science, Computer Science or any other related field of science.
3-5 years of professional experience as a Data Scientist or in a similar role, working with large data sets and complex analytical problems.
Strong problem-solving critical thinking, and analytical skills with an emphasis on product development.
Experience querying databases and using statistical computer languages.
Experience using statistical computer languages to manipulate data and draw insights from large data sets.
Experience with a variety of machine learning techniques and their real-world advantages/drawbacks.
Detailed knowledge of machine learning evaluation metrics and best practice.
Strong Python, R, SQL skills and problem-solving, good analytical & communication skills.
Experience of working in an Agile environment for applied research.
Knowledge of machine learning engineering end-to-end delivery process.
Programming Languages: Python, R, SQL(Advanced)
Statistics and Probability: Understanding of statistical methods and probability theory
Data Wrangling: Skills in cleaning and organizing data
Machine Learning: Experience with scikit-learn, TensorFlow, Keras or similar
Data Visualization: PowerBI or Tableau ( Good to Have)
Tools: Excel
Business Acumen: Ability to translate business problems into data science solutions
NLP and Deep learning Techniques
Thanks & Regards
Avnish Rao
Technical Recruiter