Data Science Core Developer

About DeepIntent:

DeepIntent is a marketing technology company that helps healthcare brands strengthen communication with patients and healthcare professionals by enabling highly effective and performant digital advertising campaigns. Our healthcare technology platform, MarketMatch™, connects advertisers, data providers, and publishers to operate the first unified, programmatic marketplace for healthcare marketers. The platform’s built-in identity solution matches digital IDs with clinical, behavioural, and contextual data in real-time so marketers can qualify 1.6M+ verified HCPs and 225M+ patients to find their most clinically-relevant audiences and message them on a one-to-one basis in a privacy-compliant way. Healthcare marketers use MarketMatch to plan, activate, and measure digital campaigns in ways that best suit their business, from managed service engagements to technical integration or self-service solutions. DeepIntent was founded by Memorial Sloan Kettering alumni in 2016 and acquired by Propel Media, Inc. in 2017. We proudly serve major pharmaceutical and Fortune 500 companies out of our offices in New York, Bosnia and India.

What You’ll Do:

• Establish formal data practice for the organisation.
• Build & operate scalable and robust data architectures.
• Create pipelines for the self-service introduction and usage of new data
• Implement DataOps practices
• Design, Develop, and operate Data Pipelines which support Data scientists and machine learning
• Engineers.
• Build simple, highly reliable Data storage, ingestion, and transformation solutions which are easy
• to deploy and manage.
• Collaborate with various business stakeholders, software engineers, machine learning
• engineers, and analysts.

Who You Are:

• Experience in designing, developing and operating configurable Data pipelines serving high
• volume and velocity data.
• Experience working with public clouds like GCP/AWS.
• Good understanding of software engineering, DataOps, data architecture, Agile and
• DevOps methodologies.
• Experience building Data architectures that optimize performance and cost, whether the
• components are prepackaged or homegrown
• Proficient with SQL, Python or JVM-based language, Bash.
• Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow
• etc. and big data databases like BigQuery, Clickhouse, etc
• Good communication skills with the ability to collaborate with both technical and non-technical
• people.
• Ability to Think Big, take bets and innovate, Dive Deep, Bias for Action, Hire and Develop the Best, Learn and be Curious

About Us

Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.

With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.

Job Brief

We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.

Credibility:

• You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
• You have the ability to directly connect business problems to research problems along with the latest emerging technologies.

Strategic Responsibility:

• To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc. 
• To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
• To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
• To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
• To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
• To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
• To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
• To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.

Personality:

• Requires excellent communication skills – written, verbal, and presentation.
• You should be a team player.
• You should be positive towards problem-solving and have a very structured thought process to solve problems.
• You should be agile enough to learn new technology if needed.

Qualifications:

• B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
• 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
• Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
• Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
• Working knowledge of Amazon Web Services(AWS).
• Experience with Docker and Kubernetes will be a plus.
• Experience with Natural Language Processing, Recommendation Systems, or Search Engines.

Our Culture

As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.

Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.

To know more about us, feel free to go through these videos:

1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&;t=6s

2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY

3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s

To view more videos, please access the below-mentioned link:

https://www.youtube.com/c/mindtickle/videos

Mindtickle is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.

• At least 4 to 7 years of relevant experience as Big Data Engineer
• Hands-on experience in Scala or Python
• Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
• Strong programming experience in building applications/platform using Scala or Python.
• Experienced in implementing Spark RDD Transformations, actions to implement business analysis

Hiring For Data Engineer - Bangalore (Novel Tech Park)

Salary : Max upto 15LPA

Experience : 3-5years

• We are looking for an experienced (3-5 years) Data Engineers to join our team in Bangalore.
• Someone who can help client to build scalable, reliable, and secure Data analytic solutions.

Technologies you will get to work with:

1.Azure Data-bricks

2.Azure Data factory

3.Azure DevOps

4.Spark with Python & Scala and Airflow scheduling.

What You will Do: -

* Build large-scale batch and real-time data pipelines with data processing frameworks like spark, Scala on Azure platform.

* Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.

* Use best practices in continuous integration and delivery.

* Sharing technical knowledge with other members of the Data Engineering Team.

* Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.

* You will get to work with massive data sets and learn to apply the latest big data technologies on a leading-edge platform.

Job Functions:

Information Technology Employment

Type - Full-time

Who can apply -Seniority Level / Mid / Entry level

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