Data Scientist Jobs - Apr-May 2024

Job description:

• As a trainee Data Scientist, you will will work closely with our experienced data science team, and your primary goal will be to learn and contribute to the development of data-driven solutions and insights.
• This is an entry-level position ideal for recent graduates or individuals looking to transition into the field of data science.

Key Responsibilities:

1. Data Preparation:
• Assist in collecting, cleaning, and preprocessing data from various sources.
• Work with structured and unstructured data, ensuring data quality and integrity.
2. Exploratory Data Analysis (EDA):
• Conduct basic EDA to gain insights from data.
• Visualize data using tools like matplotlib, seaborn, or other data visualization libraries.
3. Machine Learning:
• Learn and implement fundamental machine learning algorithms.
• Assist in model training, testing, and evaluation.
• Collaborate with senior data scientists to improve model performance.
4. Data Visualization:
• Create data visualizations and dashboards to communicate findings.
• Use tools like Tableau, Power BI, or data visualization libraries in Python/R.
5. Collaboration:
• Collaborate with cross-functional teams to understand business objectives and data requirements.
• Contribute to discussions and brainstorming sessions to solve data-related challenges.
6. Learning and Development:
• Continuously learn and stay updated on the latest data science techniques and tools.
• Participate in training programs and workshops to enhance your data science skills.

Qualifications:

• Bachelor's degree in a related field (e.g., Computer Science, Statistics, Mathematics, Engineering, etc.).
• Strong analytical and problem-solving skills.
• Basic understanding of programming languages such as Python or R.
• Knowledge of data manipulation libraries (e.g., Pandas, NumPy).
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and concepts.

Key Skills:

Data analysis, Data science, Data manipulation, Analytical, Machine learning, Programming, Data quality, Data visualization, Python

Job description:

You will be working as an entry level data scientist in BI (business intelligence) vertical

Job Roles and Key Deliverables:

• Research and develop statistical learning models for data analysis.
• Collaborate with Different departments to understand company needs and devise possible solutions.
• Keep up-to-date with latest technology trends.
• Communicate results and ideas to key decision makers.
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• Optimize joint development efforts through appropriate database.

Qualification & Experience:

• Master's Degree in Computer Science, Statistics, Applied Math or related field.
• 0-1 years practical experience with SAS, ETL, data processing, database programming and data analytics.
• Extensive background in data mining and statistical analysis.
• Able to understand various data structures and common methods in data transformation.
• Excellent pattern recognition and predictive modeling skills.
• Experience with programming languages such as Java/Python an asset.

Key Skills: Statistical analysis and computing, Machine Learning, Processing large data sets, Data Visualization, Data Wrangling, Mathematics, Programming, etc.

In this role, you are expected to be responsible for building and visualizing various offerings as requested by the clients on a regular basis. The individual must be an active contributor towards the overall objective of the project. We are looking for some who should be open to work in any shift as per the business requirement.

Responsibilities

The Role demands for a highly qualified professional who can provide guidance to direct reports typically comprising of first line managers and supervisors.

• Hands-on work and delivery of Advanced analytics/ML/AI projects
• Strong Analytical, Problem solving & critical thinking skills
• Excellent knowledge in statistical techniques such and advanced machine learning algorithms- Regression, Decision Tree, Random Forest, Clustering, Time Series, Ensemble Learning, Recommendation engine, Neural Network, NLP
• Good understanding in Large scale distributed systems, cloud computing (AWS/Azure)
• Good understanding of machine learning tools or Frameworks like Keras or TensorFlow
• Good Knowledge in Deep Learning Algorithms such as CNN, RNN & LSTM
• Hands-on coding experience, visualization and statistical tools such as Python, R, Tableau/Power BI & SQL
• Knowledge of Pyspark would be added advantage
• Handle client interaction and documentation

Minimum Qualifications

• BE/B- Tech, BCA, MCA, MBA, BSc/MSc
• Relevant work experience (Knowledge of Ariba, SQL, VBA, MS-Access, Power BI, Cognos, R is desirable)
• Strong financial analytical skills and problem solving skills.
• Effective communicate in writing and verbally to senior management.
• Experience in balancing customer facing role and work assessments.
• Self-starter and have analytical, problem solving skills
• Ability to balance customer governance meetings

Preferred qualifications

• Good conceptual knowledge and experience in other BI tools is an added advantage
• Able to nurture robust working relationships with the team, peers and clients, scheduling flexibility required
• Overall candidate should have problem solving, macro-level research and analytics approach and good in numbers.
• Good people and customer handling skills.
• Effective communication and interpersonal skill.

Roles and Responsibilities

• Collaborate with various stakeholders to identify complex business problems and break them down into problems that can be solved with a data-driven solution.
• Solve a wide-range of Machine Learning problems impacting different parts of the Blinkit demand and supply systems.
• Translate business processes into machine learning and mathematical models.
• Lead brainstorming sessions with the rest of the team before the start of a project.
• Prioritise problems identified in the Blinkit supply chain to decrease cost and increase efficiency, or work on the Demand side to increase Revenue and conversion.
• Exploratory data analysis for large datasets.
• Publish work that you've done in peer-reviewed journals.
• Handle a team of junior Data Scientists.
• Lead Data Science project teams and be responsible for the overall deliveries and quality of the code from the Data-Science side.

Requirements

• B. Tech / Masters / Ph. D. degree in Computer Science / Statistics / Mathematics or related quantitative field with minimum 5-9 years of relevant experience in areas like Machine Learning, Natural Language Processing, Artificial Intelligence, Computational Complexity, etc.
• Strong foundations in the mathematical aspects of learning including Linear Algebra, Probability Theory, Statistical Modeling, Analysis of Variance, Convex Optimization, Hypothesis Testing, Data Structures, Multivariate Calculus, etc.
• Hands experience in supervised machine learning methods like Decision Trees, Random Forests, Support Vector Machines, Neural Networks, Time Series, etc.
• Knowledge of unsupervised and feature engineering machine learning methods like Principal Component Analysis, Clustering, Word2Vec, One-Hot-Encoding, etc.
• Work experience in at least one Data Science Language (Python / R / MATLAB ).
• Proficiency in Database System Concepts and working knowledge of at least one database (SQL / NoSQL).
• Strong understanding of all the stages of taking a Model to production like scouting for Features, Data wrangling and cleaning, Feature engineering, choosing the right algorithms, validation techniques, working with large data sets, rolling out versioned Models in production using A/B Tests, measuring KPIs in production, etc.
• Experience with big data tools like Spark, and Hadoop is a plus.
• Domain knowledge in Supply Chain/block chain and concepts like Queuing Theory, Inventory Management, Warehouse Layout Design, Forecasting Techniques, Genetic Algorithms, Game Theory, and Simulated Annealing is a plus.
• Prior experience with spatiotemporal analytics is plus.

Desired Skills and Experience

Computer Vision,Machine Learning,Python

Roles And Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional Expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

Skills:- Python, Data Analytics, Data Science, Pipeline management, Cloud Computing, Amazon Web Services (AWS), Machine Learning (ML), MongoDB, PostgreSQL, Data Visualization, Data collection and Databases