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Jobs via Dice
Jobs via Dice

Data Scientist | Remote

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Machine learning
Python
+31

Permanent role
a day ago
Apply now

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:

  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Doing ad-hoc analysis and presenting results in a clear manner.
  • Analyze large, complex datasets to extract insights and decide on the appropriate technique.
  • Selecting features, building, and optimizing classifiers using machine learning techniques.
  • Collaborate with stakeholders to understand their requirements, translate them into data-driven solutions, and communicate findings and recommendations effectively.
  • Data mining using state-of-the-art methods.
  • Extending customers data with third party sources of information when needed.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Use data modelling and evaluation strategy to find patterns and predict future trends, enabling proactive decision-making.

Qualifications

  • Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) and ability to communicate complex data insights effectively.
  • Demonstrated effective interpersonal, influencing, collaboration and listening skills.
  • Ability to articulate an idea with strong communication and presentation skills.
  • Work as part of a small team, sharing ideas and contributing to the strategic goals.
  • Experience in business service, manufacturing industry is a plus.
  • Projects:
  • Collaborate with business stakeholders and support reporting needs. This will involve using SQL, Python, Excel, and various reporting tools.
  • Partner with the IT team to assist in the implementation of new datalake.
  • Support data science initiatives by developing the necessary tools to meet project requirements.

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

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