DATA SCIENTIST

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