Data Scientist

Year    MP, IN, India

Job Description

Data Scientist - 2+ Years Experience (AI & Data Analysis Focus)



Job Title:

Data Scientist

Experience:

2 - 3 Years

Location:

Indore, India (On-Site)

Company:

Dollop Infotech Pvt. Ltd.

Salary:

?25,000 - ?40,000/month (Based on skills and experience)

About Dollop Infotech Pvt. Ltd:



Dollop Infotech is a trusted IT solutions company with over a decade of experience delivering impactful software, web, and data-driven solutions to global clients. We emphasize innovation, technical excellence, and client satisfaction. Our team thrives on creativity, precision, and a collaborative culture that encourages continuous learning and growth.

Role Overview:



We are seeking a

skilled and analytical Data Scientist

with

2+ years of hands-on experience

in building, training, and deploying machine learning models and performing data analysis. The ideal candidate should have strong problem-solving abilities, statistical knowledge, and experience working with data visualization tools and Python-based data science frameworks.
Experience in

training or mentoring interns

in data science or analytics will be considered a strong advantage.

Key Responsibilities:



Collect, clean, and preprocess structured and unstructured data for analysis. Design and develop predictive models using statistical and machine learning techniques. Analyze datasets to uncover insights, trends, and patterns to support business decisions. Build data visualizations and dashboards using Power BI, Tableau, or Python libraries (Matplotlib/Seaborn/Plotly). Collaborate with software engineers and stakeholders to integrate ML models into production systems. Train and guide interns or junior team members on real-world data projects. Stay up to date with the latest advancements in AI, ML, and data science technologies. Present findings and insights to non-technical stakeholders in a clear and concise manner.

Required Skills:



2+ years of proven experience as a Data Scientist or Data Analyst in a professional environment. Proficiency in

Python

, including libraries such as

NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch

. Strong knowledge of

statistics, probability, and data modeling

concepts. Experience with

data visualization

and

dashboarding tools

(Power BI, Tableau, or Python-based tools). Familiarity with

SQL

and working with relational databases. Experience in

data preprocessing, feature engineering, and model evaluation

. Understanding of

machine learning algorithms

(Regression, Classification, Clustering, etc.). Strong analytical and critical-thinking skills with attention to detail. Excellent communication and presentation skills.

Bonus Points For:



Experience with

deep learning

or

NLP frameworks

(Keras, Hugging Face, OpenAI API, etc.). Knowledge of

Big Data tools

like Hadoop, Spark, or Databricks. Exposure to

cloud platforms

(AWS, Azure, or Google Cloud) for data storage and ML deployment. Experience using

Jupyter Notebooks

,

Git

, and version control systems. Prior experience mentoring or training

data science interns

. Understanding of

business intelligence

, KPIs, and data-driven decision-making.

Why Join Us?



Opportunity to work on diverse real-world data science projects. Exposure to AI/ML model development and deployment workflows. Chance to train and lead data interns under expert guidance. Supportive, innovation-driven environment that values learning. Competitive salary with performance-based increments. Stable and long-term career growth in a reputed IT company.

How to Apply:



Send your resume + project portfolio/GitHub profile to:

hr@dollopinfotech.com


Call/WhatsApp:

9009600448



Job Types: Full-time, Permanent

Pay: ?30,000.00 - ?50,000.00 per month

Work Location: In person

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Job Detail

  • Job Id
    JD4821180
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    MP, IN, India
  • Education
    Not mentioned
  • Experience
    Year