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Data Scientist : Local to Meridian, CO : No H1B at Meridian, New York, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=752093&uid=

From:

Sam Young,

Swastik IT Services

[email protected]

Reply to:   [email protected]

Data Scientist

Location
: Meridian, CO (onsite,day one)

Rate:$50/hr

About the Role
:

We are looking for a skilled and experienced Data Scientist who excels in applying machine learning,

deep learning and statistical modeling to solve data science problems. The ideal candidate will have the

ability to translate complex business problems into data science problems and architect data

science-based solutions.

As a Data Scientist, you will play a crucial role in leading and mentoring junior data scientists, while

collaborating with cross-functional teams to drive data-driven decision-making and solve challenging

business problems.

Day to Day Responsibilities:

Apply machine learning algorithms and statistical models to solve complex business problems

and generate actionable insights.

Design, develop, and implement data science solutions, including feature engineering, model

development, and evaluation.

Architect scalable and efficient data pipelines for data preprocessing, feature extraction, and

model training.

Conduct exploratory data analysis (EDA) to understand data characteristics, identify patterns, and

gain insights into data quality and availability.

Mentor and lead junior data scientists, providing technical guidance and fostering their growth

and development.

Communicate complex analytical concepts and findings to both technical and non-technical

stakeholders in a clear and concise manner.

Stay updated with the latest advancements in machine learning algorithms, tools, and techniques.

Must Have:

Bachelors or Masters degree in a quantitative field such as Mathematics, Statistics, Computer

Science, or related disciplines.

Minimum of 7 years of experience as a Data Scientist, with a focus on machine learning and

exploratory data analysis.

Proficiency in machine learning algorithms, statistical models, and their practical application.

Strong programming skills in Python, with Pandas/NumPy experience, for data manipulation,

model development, and evaluation.

Solid understanding of data preprocessing techniques, feature engineering, and model evaluation

methods.

Experience in designing and implementing scalable data pipelines for preprocessing, feature

extraction, and model training.

Strong problem-solving and analytical skills, with the ability to think critically and creatively.

Excellent communication and leadership skills, with the ability to mentor and lead junior data

scientists.

Experience with end-to-end problem solving and ownership for at least one major thread of a data

science project

Familiarity with the technological stack needed to deliver data science projects end to end - Git or

any other VCS, orchestration tools etc.

Nice to Have:

Experience with ML on cloud-based data platforms and services, such as AWS, Azure, or Google

Cloud Platform

Experience with deep learning frameworks such as TensorFlow or PyTorch.

Familiarity with big data technologies such as Hadoop, Spark, or distributed computing

frameworks.

Knowledge of natural language processing (NLP) techniques and tools.

Proficiency in data visualization tools, such as Plotly or Matplotlib, for presenting insights and

results.

Active participation in data science communities, conferences, or open-source projects.

Publications or patents in the field of data science or machine learning

Regards, 

Sam Young, Manager-Sales, 

(Best way to reach me is Email.) 

Email
:[email protected] 

Keywords: machine learning information technology Colorado
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12:59 AM 14-Oct-23


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