Sutherland Global Services is seeking Data Scientist (Machine Learninig) with experience in building high-performing, scalable, enterprise-grade applications. You will be part of a talented software team that works on mission-critical applications. As a Data scientist you should be Proficient in SQL and experience with efficient processing of large data sets. Ability to write sophisticated and optimized queries against large databases. Proficient in data visualization tools such as Mode Analytics or Tableau, Proficient in Excel, Experience in statistical computing with Python/R. Ability to handle several concurrent activities with strong organizational skills and attention to detail.

To succeed in this position, you must have 5 – 8 years of experience in architecting enterprise applications using the below technologies

Responsibilities:

• Deep knowledge of math, probability, statistics and algorithms to help strategize and guide developers to build algorithms.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experiences with one or more of the following is highly desirable: HPC/Parallelization, operationalizing ML models; cloud computing (e.g. Google Cloud, AWS, etc.); familiarity with ML frameworks such as TensorFlow, Theano, MXNet and ML-JS, etc
• Good experience in a few of the following areas: deep neural networks, reinforcement learning, Markov Random Fields, Bayesian networks, semi-supervised learning, computer vision, image processing, signal processing, distributed computing, and/or numerical optimization
• 2+ years of experience with computer vision and deep learning solutions, including image classification, object detection, segmentation, and equivalent computer vision-based vision tasks
• Experience with common data science toolkits, such as R, Weka, NumPy, etc . Excellence in at least one of these is highly desirable
• Proficiency in using query languages such as SQL, Hive, Pig
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills

Qualifications:

To succeed in this position, you must:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art method
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Aktana is looking for an experienced Data Scientist to join our Data Science team in Pune. The Data Science team builds mathematical and behavioral economics models underpinning Aktana’s core solutions for actionable analytics and behavioral intelligence. The set of problems that we tackle is incredibly diverse and complex. They cut across optimization, prediction, modeling, inference, and behavioral science. We research and develop the algorithms and models that make our solution intelligent, as well as implementing, scaling and maintaining the code that powers our production systems.

The ideal candidate is a critical thinker with experience and background in commercial life science domain, passionate about solving mathematical and behavioral problems with data, and is excited about working in a fast-paced, innovative and collaborative environment. And also has software engineering background to be able to work with data and develop machine learning models easily.

Principle Duties and Essential Responsibilities:

• Work with Data Scientists, Product Managers, Customer Success and Services teams to frame a problem, both mathematically and within the business context
• Write production-level code; collaborate with Engineering team to implement algorithms in production and productize common solutions
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning and optimization models
• Utilize commonly used computing and database environments to get the data that you need and implement a working prototype of the formulated model.
• Learn and apply new methodologies in the intersection of applied math/ probability/statistics/machine learning/computer science.
• Make intelligent approximations to the model if required to make it scalable.
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Identify data sources that could be used to test assumptions

What you’ll need to be successful…

• Bachelor’s degree in engineering / Statistics / Operations Research / Computer Science, or other quantitative disciplines with at least 2 years of experience
• 2 years+ of Data Science experience
• Proven track record of developing algorithms for production-ready recommendation or prediction systems using languages and big data platforms such as Scala, Python, R, Java, Spark, Cassandra, and Hadoop
• Experience working in an agile software development environment
• Passion for solving unstructured and non-standard mathematical and behavioral problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Experience with analytics for commercial life science and pharma-specific analyses a big plus
• Excellent communication and presentation skills, being able to explain complex problems and the solutions applied, feeling comfortable in being part of the sales process, supporting the sales team, engaging with customers and presenting technical solutions to a nontechnical audience
• High-energy self-starter with a passion for your work, attention to detail, and a positive attitude
• Great team player, willingness to collaborate and communicate with others to solve a problem.

You’ll really stand out if…

• Experience in data science and data analytics for life science industry especially in GTM strategy and execution a big plus
• Experience implementing machine learning algorithms

Why you’ll love working at Aktana…

Committed to customer success and innovation, Aktana is at the forefront of transforming how life sciences companies share information with healthcare providers (HCPs). Our proprietary platform harnesses machine learning algorithms to enable marketing and sales teams to seamlessly coordinate and optimize multi-channel engagement with HCPs. Today, more than half of the top 20 global pharma companies are using Aktana for intelligent engagement.

Aktana is growing fast and looking for exceptional talent to join our team. We are committed to building a diverse workplace in which our employees are empowered to do their best work. We value hard work, transparency, and collaboration – and we like to have fun too!

Headquartered in San Francisco, we also have offices in Philadelphia, London, Barcelona, Tokyo, Osaka, Shanghai, Beijing, Chengdu, Bucharest, Pune, Sydney, and Sao Paulo.

Aktana conducts background investigations and/or reference checks on all new hires.

Data Scientist (Machine Learning). Job IDTSKDSML100

• BE/B.Tech/ME/M.Tech in Computer Science or related field
• 2-4 years experience of building and deploying Machine Learning models, preferably in internet industry
• Sound knowledge of R, Python and different data mining tools (Advanced Excel, MySQL etc.)
• Deep knowledge of various predictive modeling and machine learning algorithms and underlying Maths and Stats behind them
• Strong analytical, numerical, interpersonal skills and business acumen
• Strong technical architecture, design, deployment and operational level knowledge of AI platforms, standards, protocols and devices

Job responsibility

• Build, validate and deploy machine learning models for various business problems (recommendation, relevancy, automate decisioning, fraud prevention to name a few)
• Work on data enrichment and integrity frameworks and processes to add to the power of models
• The role would start as an individual lead but overtime you may need to build and lead a team depending on scope of work

HP is the world’s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.

We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works.

At HP, the future is yours to create!

If you are our Data Scientist in India, you will get an opportunity to work on below

Responsibilities

• Independently develop and deliver data science projects/modules with medium to high complexity
• Identify machine learning algorithms and methods best suited to solve specific business problem
• Build robust code in Python, R etc. in data science projects
• Understand business problem and provide solution using data science and analytics
• Network with the organization to obtain required data from multiple sources
• Data management for data science projects – Data extraction, validation, cleaning, processing and storage
• Effectively communicate with clients
• Transform data science prototypes into machine learning systems.
• Build cost effective and efficient systems using parallel processing and other methods.

  
  Experience Required:

• Experienced in building multiple data science projects of medium to high complexity
• Deep knowledge of math, probability, statistics and algorithms.
• Experienced in writing robust codes in Python, R etc.
• Understanding of data structures, data modelling and software architecture.
• Exposure to complete life cycle of data science projects
• Experience/exposure to implementation of data science projects
• Exposure to ML platforms like Databricks etc.
• Experience/Exposure to Big Data technologies like Spark and Hadoop.
• Worked directly with clients and stakeholders.

  
  Education:

• Master Degree or higher in one or more of the following quantitative disciplines, i.e. Mathematics, Statistics, Economics, Computing.

Posted On: Jan 7, 2022

Location: IN

Company: Qualfon