Job Description
HI ,
Hope you're doing well
This is pankaj from 4P Consulting Please see below job description
Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C
- A Data Scientist with 5 to 10 years of
experience is responsible for leveraging
data to uncover insights, create predictive
models, and drive data-driven decision-
making within an organization. - This role
involves advanced analytics, machine
learning, and strong problem-solving skills
to extract actionable information from
large datasets. Key Responsibilities: Data
Analysis: Collect, clean, and analyze
complex datasets to identify trends,
patterns, and actionable insights. - Use
statistical techniques to uncover
meaningful information from data.
Predictive Modeling: Develop and deploy
machine learning models to predict future
trends, behaviors, and outcomes. Apply
regression analysis, clustering,
classification, and other modeling
techniques. - Data Visualization: Create
compelling data visualizations to
communicate findings effectively to both
technical and non-technical stakeholders
using tools like Tableau, Power BI, or
Python libraries. Hypothesis Testing:
Formulate and test hypotheses, providing
statistical validation for business
decisions and recommendations. - Feature
Engineering: Engineer and select relevant
features for machine learning models, - enhancing their predictive power.
Algorithm Development: Build and fine-
tune machine learning algorithms, such
as decision trees, random forests, neural
networks, and more, depending on the
specific problem. - Data Integration:
Collaborate with IT and database
administrators to integrate and access
data from various sources and data
warehouses. Model Deployment: Deploy
machine learning models in production
environments to support real-time
decision-making. A/B Testing: Design and
analyze A/B tests to measure the impact
of changes and improvements. Data
Ethics: - Ensure ethical data practices,
including privacy and compliance with
data protection regulations. Cross-
functional Collaboration: Collaborate with
cross-functional teams, including
engineers, business analysts, and domain
experts, to understand business
requirements and align data science
initiatives with organizational goals.
Mentorship: - Provide guidance and
mentorship to junior data scientists and
analysts, fostering their professional
growth. Continuous Learning: Stay
updated on the latest data science tools,
techniques, and trends through ongoing
professional development. Qualifications:
Bachelor's degree in a quantitative field
(e.g., Computer Science, Statistics,
Mathematics, Engineering); a Master's or
Ph.D. is a plus. - 5 to 10 years of experience
in data science, including machine
learning and statistical analysis.
Proficiency in data analysis tools and
programming languages such as Python,
R, or Julia. Strong knowledge of machine
learning algorithms and their applications.
Experience with data visualization toolslike Tableau, Power BI, or data
visualization libraries in Python (e.g.,
Matplotlib, Seaborn). Solid understanding
of databases and data manipulation using
SQL. Excellent problem-solving and
critical thinking skills. Strong
communication skills to convey complex
findings and insights to both technical and
non-technical stakeholders. Familiarity
with big data technologies and distributed
computing frameworks is a plus (e.g.,
Hadoop, Spark). Knowledge of data
ethics, privacy, and compliance
considerations. - A Data Scientist with 5 to
10 years of experience is a critical asset to
an organization, capable of transforming
data into actionable insights, building
predictive models, and driving data-driven
decision-making. This role requires a
strong foundation in data science
techniques, programming, and advanced
analytics, as well as the ability to
collaborate with various teams and
mentor junior staff.
Thanks and Regards
Sr. Talent Acquisition Specialist
Pankaj Mishra
Pankaj.Mishra@4pconsultinginc.com
+1 205-756-4834
Job Tags
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