Express Analytics | Senior

1 week ago

Delhi, India Express Analytics Full time
NOTE BEFORE APPLY >> ** Notice Period Condition: Only candidates with a notice period of 0-30 days are eligible to apply for this job role.**

Job Title:

Senior (Lead) Data ScientistCompany:

Express AnalyticsLocation:

RemoteEmployment Type:

Full-TimeExperience Required:

3+ years in Data Science, Machine Learning, or a related fieldSalary Range:

₹15 LPA – ₹30 LPA

Job Overview:

Express Analytics

is seeking a talented

Senior Data Scientist

to lead data science projects that focus on customer insights, personalization, and business optimization. You will be responsible for designing and implementing models in key areas such as

Customer Lifetime Value (CLV) estimation ,

recommender systems ,

attribution modeling ,

pricing optimization , and

demand forecasting . This role involves collaborating with cross-functional teams to enhance customer engagement and drive impactful business results.

Key Responsibilities:

Customer Analytics:

Develop and optimize models for

Recency-Frequency-Monetary (RFM) Analysis ,

Customer Lifetime Value (CLV) , and

Customer Churn Prediction

to support customer retention.Look-Alike Modeling:

Implement advanced modeling to identify and target

high-value customers

for marketing campaigns.Identity Resolution and Deduplication:

Ensure high data quality and customer identity accuracy through deduplication and identity resolution.Attribution Modeling:

Design and apply

Multi-Touch Attribution

models, including

Markov Chains

and

Neural Network-based

approaches.Market Mix Modeling (MMM):

Conduct

Market Mix Modeling

to assess and maximize marketing ROI.Recommender Systems:

Build recommendation engines using

Content Filtering ,

Collaborative Filtering ,

Professional Similarity Models , and more for

Upsell & Cross-Sell

initiatives.Predictive Analytics:

Create models for

Price and Discount Prediction ,

Demand Forecasting ,

Price Optimization , and

Sales Prediction .Natural Language Processing (NLP):

Leverage NLP for

Sentiment Analysis ,

Topic Modeling , and

Email Response Scoring .Customer Segmentation:

Use clustering algorithms and

Matrix Factorization

to execute

Customer Segmentation

strategies.Data Quality & Cleansing:

Ensure data accuracy through effective

Data Quality Improvement

practices.Experimentation and Testing:

Conduct

A/B Testing

and

Multi-Armed Bandit

experiments to optimize business strategies.Product & Pricing Insights:

Develop models for

Product Preference

and

Price Intelligence

to support pricing and inventory decisions.

Qualifications:

Education:

Bachelor’s or Master’s degree in Data Science, Statistics, Machine Learning, Computer Science, or a related field.Experience:

3+ years in data science, machine learning, or similar roles focused on customer analytics and business insights.

Technical Skills:

Proficiency in

Python

(Pandas, Scikit-Learn, TensorFlow, PyTorch) and

SQL .Hands-on experience with

Machine Learning Models

such as

Decision Trees ,

Random Forests ,

Clustering Algorithms ,

Matrix Factorization ,

Deep Learning , and

NLP .Knowledge of

Recommender Systems

including

Collaborative Filtering

and

Content-Based Filtering .Experience with

Attribution Models

and

Markov Chains .Proficiency in

A/B Testing

and

Predictive Analytics .Familiarity with

Data Visualization

tools (e.g., Power BI, Tableau) is a plus.

Soft Skills:

Strong analytical and problem-solving skills with a data-driven mindset.Effective communicator who can translate data insights to stakeholders.Collaborative and adaptable, with the ability to work across teams.

Why Join Express Analytics?

Engage in innovative data science projects that impact both customer experiences and business growth.Competitive salary range from ₹15 LPA to ₹30 LPA.Collaborative, growth-focused team culture.Flexible working options (remote).

If you're a data science expert ready to drive meaningful business impact, Express Analytics is excited to hear from you

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