Data Scientist

2+ years of Analytics with predominant experience in SQL, SAS, Statistics, R , Python, Visualization

Experienced in writing complex SQL select queries (window functions & CTE’s) with advanced SQL experience

Should be an individual contributor for initial few months based on project movement team will be aligned

Strong in querying logic and data interpretation

Solid communication and articulation skills

Able to handle stakeholders independently with less interventions of reporting manager

Develop strategies to solve problems in logical yet creative ways

Create custom reports and presentations accompanied by strong data visualization and storytelling

Key Responsibilities
• Engage directly with the client to understand marketing objectives
• Develop custom performance reporting and analyses across multiple channels(Search, Display, Social,
Email etc)
• Architect solutions & provide recommendations that drive results on client campaigns & objectives
• Support A/B testing build work using customer experience optimization tools
• Collaborate closely with other teams to formulate industry-best-practice analytic solutions and
directly contribute to a variety of validation activities such as model design, execution and
assessment; data review; and campaign/marketing performance evaluation.
• Responsible for assisting in defining a comprehensive measurement framework, developing effective
reporting and dashboards with an objective to evaluate marketing performance and provide
recommendations for enhancement
• Manage the day to day core insights/trends of our digital marketing programs to help guide
optimization efforts
• Work with various internal and externalstakeholders to develop project plan, manage the day-to-day
tasks and meet project deadlines

Qualifications:
• 2 - 5 years of industry experience required
• Bachelors or Masters degree in Mathematics, Statistics, Economics, Finance, or Engineering required
• Strong experience with SQL and Python required
• Demonstrated proficiency in multiple digital marketing channels (Paid Search or SEM, Organic Search
or SEO, Paid Social, Earned Social, Display, Email) required
• Media Platforms and 3rd Party Tools experience (Google Adwords, DoubleClick, MediaMath, Bing Ads,
ExactTarget, Hitwise, BrightEdge, Facebook, etc.) useful
• Strong experience in Web Analytics tools (Adobe, Omniture, WebTrends, Google Analytics, AdWords,
AdCenter, DoubleClick, MediaMath, Exact Target, etc.) preferred
• Understanding of relational databases and familiarity with data processing
• Excellent written and oral presentation skills
• Strong problem solving and consulting skills

·       Build data products and processes alongside the core engineering and technology team.

·       Collaborate with senior data scientists to curate, wrangle, and prepare data for use in their advanced analytical models

·       Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards

·       Modify and improve data engineering processes to handle ever larger, more complex, and more types of data sources and pipelines

·       Use Hadoop architecture and HDFS commands to design and optimize data queries at scale

·       Evaluate and experiment with novel data engineering tools and advises information technology leads and partners about new capabilities to determine optimal solutions for particular technical problems or designated use cases .

About Us:

We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.

Functional Experience:

• Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
• 2+ years of data science experience working with large datasets
• Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
• Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
• Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
• Good knowledge of Machine Learning and Statistical time series analysis (optional)
• Unparalleled logical ability making you the go to guy for all things related to data
• You love coding like a hobby and are up for a challenge!

 

Cultural:

• Assume a strong sense of ownership of analytics : Design, develop & deploy
• Collaborate with senior management, operations & business team
• Ensure Quality & sustainability of the architecture
• Motivation to join an early stage startup should go beyond compensation

Job Description:

• Help build a Data Science team which will be engaged in researching, designing,
implementing, and deploying full-stack scalable data analytics vision and machine learning
solutions to challenge various business issues.
• Modelling complex algorithms, discovering insights and identifying business
opportunities through the use of algorithmic, statistical, visualization, and mining techniques
• Translates business requirements into quick prototypes and enable the
development of big data capabilities driving business outcomes
• Responsible for data governance and defining data collection and collation
guidelines.
• Must be able to advice, guide and train other junior data engineers in their job.

Must Have:

• 4+ experience in a leadership role as a Data Scientist
• Preferably from retail, Manufacturing, Healthcare industry(not mandatory)
• Willing to work from scratch and build up a team of Data Scientists
• Open for taking up the challenges with end to end ownership
• Confident with excellent communication skills along with a good decision maker

Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code.

This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.

Job Description   Be a part of the team that develops and maintains the analytics and data science platform. Perform functional, technical, and architectural role and play a key role in evaluating and improving data engineering, data warehouse design and BI systems. Develop technical architecture designs which support a robust solution and leads full-lifecycle availability of real-time Business Intelligence (BI) and enable the Data Scientists   Responsibilities  ● Construct, test and maintain data infrastructure and data pipelines to meet business requirements ● Develop process workflows for data preparations, modelling and mining Manage configurations to build reliable datasets for analysis Troubleshooting services, system bottlenecks and application integration ● Designing, integrating and documenting technical components, dependencies of big data platform Ensuring best practices that can be adopted in Big Data stack and share across teams
 
  
● Working hand in hand with application developers and data scientists to help build softwares that scales in terms of performance and stability   Skills  ● 3+ years of experience managing large scale data infrastructure and building data pipelines/ data products. ● Proficient in - Any data engineering technologies and proficient in AWS data engineering technologies is plus. ● Language - python, scala or go ● Experience in working with real time streaming systems Experience in handling millions of events per day Experience in developing and deploying data models on Cloud ● Bachelors/Masters in Computer Science or equivalent experience Ability to learn and use skills in new technologies 

Understanding business objectives and developing models that help to achieve them,
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing 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
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production