Product Designer

Job Description:

As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement machine learning models and algorithms.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members on data-driven projects and research.
• Participate in meetings and contribute to discussions on project progress and strategy.
• Work with large datasets to clean, preprocess, and analyze data.
• Build and deploy statistical and machine learning models to generate actionable insights.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
• Assist in the creation of data visualizations and dashboards for reporting insights.
• Support the development and improvement of data pipelines and algorithms.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
• Contribute to the documentation and presentation of results, findings, and recommendations.
• Participate in team meetings, brainstorming sessions, and project discussions.

Duration: 03 Months (with the possibility of extending up to 6 months)

MODE: Work From Home (Online)

Requirements:

• Any Graduate / PassOuts / Freasher can apply.
• Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong foundation in statistics, probability, and data analysis techniques.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

Python

Pyspark

SQL

ETL Aws, Azure, gcp

Job Title :Digital Marketing

Skills :SEO, SMM, Off/On page, Content Writing Google ads

Location: Coimbatore

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Key Responsibilities:

1.Take ownership of the entire product stack , which includes multiple android applications and backend modules.

2.To enhance each of them while bringing in innovation and latest market trends.

3.Bridge the gap between tech team and non tech team (operations, support, finance etc)

4.create automation and efficiency in the company.

5.Create detailed user stories and product principles via discussions with relevant owners and team.

6.Work with the Project Management team and assign tasks to the 50-member tech team and determine deadlines.

7.Work with UI-UX team to ensure wire framing and visual prototypes are captured as part of story board approval.

8.Drive product launches including working with the operations team to ensure knowledge transfer and training

9.Take deep understanding of Grabs business across all verticals to build a robust product line.

Eligibility:

1.Proven work experience in product management or as an associate product manager

2.Proven track record of managing all aspects of a successful product throughout its lifecycle

3.Proven ability to develop product strategies and effectively communicate recommendations to management

4.Strong problem solving skills and willingness to roll up ones sleeves to get the job

5.Skilled at working effectively with cross functional teams in a matrix organization

6.Excellent written and verbal communication skills

7.Education qualification from premier institute preferred

• Be involved in full-fledged product development.
• Build New Features, Push them to production fast.
• Debug production issues across services and levels of the stack
• Build services or APIs which will for easy application integrations at Sokrati to develop applications faster.
• Build scalable/fault-tolerant backend systems that process and analyze billions of data points every day.
• You will use every aspect of computer science you have learned or heard of. We believe in experimenting to facilitate more efficient systems.
• You will become an owner in no time. The company aspires in creating effective owners.
• You will participate in every aspect of Software Life Cycle. From inception, to design, to coding, to testing, to deployment and maintenance.