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Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

Our firm is looking for a driven and dynamic individual to join our marketing team.

If that's you and you succeed in our interview, you will manage our team's presence across LinkedIn, Twitter, and Instagram. Additionally, you will be involved in content marketing activities such as blog writing, e-book creation, and contributing to product marketing content development.

Your work will play a critical role in enhancing content distribution, lead generation, pipeline building, and brand awareness, as well as driving employer branding initiatives through social media and content marketing.

LOOKING FOR PEOPLE FROM SAAS COMPANIES ONLY.

PEOPLE FROM CHENNAI LOCATION ONLY.

What will I be doing?Social Media Management

Develop and execute a comprehensive social media strategy aligned with our brand and business goals.

Manage and curate content for all social media channels, ensuring consistent and engaging messaging.

Monitor social media trends and industry news to capitalize on relevant opportunities.

Content Creation

Generate high-quality written content, including blogs, emails, landing pages, and other marketing collateral.

Collaborate with cross-functional teams to gather insights and create compelling, customer-centric content.

Maintain a content calendar to ensure timely and consistent delivery of content across channels.

Brand Advocacy

Foster community engagement and build brand advocacy through social media interactions.

Work closely with influencers and partners to amplify our firms presence and reach.

Analytics and Reporting

Utilize analytics tools to measure the performance of social media campaigns and content initiatives.

Provide regular reports and insights to track key metrics and inform future strategies.

Cross-functional Collaboration

Collaborate with the marketing, design, and product teams to align content strategies with broader marketing objectives.

Ensure brand consistency across all communication channels.

Qualifications

Proven experience in content creation for B2B SaaS companies.

Strong writing and editing skills, with the ability to craft engaging and persuasive content.

Familiarity with social media analytics tools and the ability to translate data into actionable insights, would be a plus.

Creative mindset with a keen understanding of current industry trends and best practices.

Excellent project management skills with the ability to handle multiple tasks and deadlines.

Good-to-have

Bachelor's degree in Marketing, Communications, or a related field

2-3 years of experience in social media management and content marketing.

Experience in the technology or SaaS industry is a plus.

What's in it for me?

Competitive salary and performance-based incentives.

Opportunity to contribute to a rapidly growing startup and make a significant impact on its success.

A collaborative work environment that values creativity and innovation.

·      GST, TDS, P&L STATEMENT, BANKING KNOWLEDGE & LOAN DOCUMENT PREPARING MANDATORY SKILLS

·      

Sustain strong relations with existing clients to ensure their long-term satisfaction and retention.

·      Collaborate with various departments to create and implement sales strategies and meet sales targets.

·      Prepare sales presentations and showcase the benefits of the product to prospective customers.

·      Negotiate favorable contracts and agreements with clients to ensure the satisfaction of both parties.

·      Address client inquiries and resolve their issues promptly, thus enhancing customer service quality.

·      Stay updated on the latest industry trends and the competitive business landscape.

·      Collaborate with internal teams to support overall sales activities and enhance the client experience.

·      Prepare regular sales reports and update the management on departmental activities, progress, and daily challenges.

·      Attend industry events and conferences to build professional networks and prospective client base with product demonstrations.

·      Track market changes and competitor activities to identify growth opportunities.

·      Assist the product development team in making product enchantments based on client feedback.

·      Conduct market audits to identify new business opportunities and prospective clients.

·      Work closely with the marketing department to develop promotional content and campaigns.

·      Manage the entire sales pipeline to ensure that all leads are followed promptly.

·      Stay updated on the market best practices and sales and account management regulations.

Account Executive Qualifications

·      Bachelor’s degree in business administration, marketing, or a related field.

·      Prior experience of 5-12 years as an Account Executive or a similar sales role.

·      Strong communication and interpersonal skills.

·      Ability to build strong rapport with clients and colleagues.

·      Excellent negotiation and persuasion skills.

·      Strong organizational and project management skills.

·      Proficiency with MS Office Suite.

·

We are seeking extremely smart programmers who are gung ho about building large scale systems that are going to have a big impact on millions of customers.

Responsibilities:

• Design and develop products by working closely with business team.
• Gain experience with hands on coding and independent ownership of software components.
• Build performant, scalable, enterprise ready back end architectures that can support millions of users in parallel.
• Follow strong engineering best practices and champion their adoption.

Requirements:

• 2+ years’ experience in software product development and delivery.
• Bachelors or Masters degree in engineering from a reputed institute(preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem solving abilities.
• All experience should be from good product development or e-commerce background.
• Must have shown good stability in all your previous associations.
• Have strong backend knowledge and cloud development exposure.
• Expert at Java, Spring boot, Hibernate, REST API development.
• Worked with at least 1 RDBMS (Mysql preferred). NoSql is a plus.
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place.
• Writing high quality code which is made better by unit tests and integration tests is how you work.
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few.
• Knowledge of test driven development and AWS tech stack will be a good plus.

• Required 4+ years of experience in Java.
• Hands on professional experience using Core Java, Java Restful APIs, Gradle, Spring, Spring Boot and related frameworks.
• Hands on experience creating/consuming web services and data Data queries in SQL
• 2+ years’ experience of working with geographically dispersed teams, that fall across different time zones
• Experience with distributed architecture including web services and technologies
• Developing POCs
• Working knowledge of JIRA or other ALM tools to create a productive, high quality development environment