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Expert Data Scientist
Ciklum
posted 14d ago
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Flexible timing
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Job Description
Description
Ciklum is looking for an Expert Data Scientist to join our team full-time in India.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
As an Expert Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities - Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
- Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals
- Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
- Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
- Work directly with business analysts and data engineers to understand and support their use cases
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
- Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members
- Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices
- Support marketing & sales activities, customer meetings and digital services through direct support for sales opportunities & providing thought leadership & content creation for the service
We know that sometimes, you can t tick every box. We would still love to hear from you if you think you re a good fit!
General technical requirements:
- BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields
- Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning
- Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions
- Hands-on experience with various machine learning techniques, including but not limited to:
- Regression
- Classification
- Clustering
- Dimensionality reduction
- Proficiency in Python for developing machine learning models and conducting statistical analyses
- Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively
Specific technical requirements:
- Proficiency in SQL for data processing, data manipulation, sampling, and reporting
- Experience working with imbalanced datasets and applying appropriate techniques
- Experience with time series data, including preprocessing, feature engineering, and forecasting
- Experience with outlier detection and anomaly detection
- Experience working with various data types: text, image, and video data
- Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML)
Domain experience:
- Extensive experience working with POS systems data, including transaction records, SKU-level details, and understanding of sales cycles
- Knowledge of retail operations, including merchandising, store layouts, product placements, and how these factors impact sales and customer engagement
- Familiarity with inventory management data, demand planning, and supply chain logistics, including forecasting stock levels and minimizing overstock/understock scenarios
- Experience working with multiple data sources from online and offline retail channels (e.g., e-commerce platforms, in-store sales) and integrating them to deliver a unified customer view
- Expertise in building models to predict future demand for products based on historical sales data, seasonality, promotions, and external factors like economic trends
- Strong experience in developing personalized product recommendation systems using collaborative filtering, content-based filtering, or hybrid models to enhance the customer shopping experience
- Expertise in association rule mining to identify frequently bought-together items for cross-selling and upselling opportunities
- Ability to develop predictive models for customer churn, identifying at-risk customers and designing targeted retention strategies
- Expertise in developing personalized customer experiences, from personalized promotions to tailored product recommendations based on real-time customer interactions
- Knowledge of data privacy laws and frameworks like GDPR, CCPA, and PCI DSS (Payment Card Industry Data Security Standard) to ensure the secure handling of customer data and payment information
- Expertise in managing sensitive consumer data, including PII (Personally Identifiable Information), and implementing consent-based data collection practices to protect customer privacy
- Familiarity with Customer Relationship Management (CRM) systems (e.g., Salesforce, HubSpot) for analyzing customer interactions and optimizing marketing and sales strategies
- Ability to work with merchandisers, marketing teams, store managers, and supply chain teams to ensure that data-driven insights are actionable and aligned with business goals
Good to have skills:
- Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes)
- Experience in deep learning development using TensorFlow or PyTorch libraries
- Experience with Large Language Models (LLMs) and Generative AI applications
- Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL
- Familiarity with platforms like Databricks and Snowflake for data engineering and analytics
- Experience working with Big Data technologies (e.g., Hadoop, Apache Spark)
- Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j)
Business-related requirements:
- Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution
- Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods
- Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels
- Research experience with peer-reviewed publications
- Recognized achievements in data science competitions, such as Kaggle
- Certifications in cloud-based machine learning services (AWS, Azure, GCP)
Employment Type: Full Time, Permanent
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(based on 13 Ciklum interviews)
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45%
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8%
8%
31% candidates got the interview through other sources.
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What people at Ciklum are saying
Data Scientist salary at Ciklum
reported by
1
employee
with 1
years exp.
₹5
L/yr - ₹6.3
L/yr
61%
less
than the average Data Scientist Salary in India
View more details
What Ciklum employees are saying about work life
based on 79 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ciklum Benefits
Submitted by Company
Growth Care Annual leave policy
Submitted by Employees
Health Insurance 
Work From Home 
Team Outings 
Soft Skill Training 
Education Assistance 
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Ciklum Chennai Office Location
Chennai, Tamil Nadu Office
Campus 3B, Co-Wrks, 5th Floor, RMZ Millenia Park II, MGR Main Rd, Kandanchavadi, Perungudi, Chennai – 600096
Chennai, Tamil Nadu
600096
600096
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