Senior Data Scientist - Machine Learning/NLP (7-9 yrs)

About Doceree :

As the first global network of physician-only platforms for programmatic messaging, Doceree is transforming the digital communication landscape in the healthcare industry.

Doceree provides the most comprehensive solution to Healthcare and Lifestyle advertiser to reach the target audience in most effective and efficient way through programmatic digital advertising.

Our platform provides unmatched insights to our partners.

Doceree is a growing AdTech start-up delivering innovative solutions.

Our team members are motivated individuals that help each other do remarkable things every day.

We face challenges together and we win together.

And together, we deliver world-class solutions that transform the way the world uses technology

We are expanding our footprints across the globe and enhancing our services offering and developing new products and solutions to address the unmet needs of industry.

Doceree is operating in three markets worldwide with headquarters in the NY and offices in three regions - Americas, Europe and APAC.

Why Explore a Career at Doceree :

Doceree provides a competitive compensation package including salary, Health insurance, and stock options.

Doceree values diversity and is proud to be an equal opportunity employer.

We proudly boast of the vibrant and open culture.

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you are passionate to work on unstructured business problems that can be solved using technology, we would like to talk to you.

Job Description :

We are looking for Sr Data Scientist to join our Data Science and Engineering team who can solve our business and engineering problems efficiently using the various prediction models and heuristics.

The responsibilities will include conducting thorough research on the input topics, generating ideas for features and models required for solving various problems for adserver and integrating the model with the main business application.

The candidate must be a good programmer and good in data structures apart from being familiar with ML models like logistic regression/decision trees, NLP models and neural networks.

Exposure to databases and engineering concepts are a must.

Ultimately, you'll deliver models with high accuracy that solves the engineering problem at hand, efficiently.

Roles & Responsibilities :

- Lead the development and implementation of advanced analytics projects to address business challenges and opportunities.

- Develop and deploy predictive models by doing research work for right model, data preparation involving various databases, building model and finetuning for accuracy and integrating with business application efficiently to optimize business processes and improve customer experience.

- Design and build machine learning models to extract insights from large datasets and improve decision-making processes.

- Collaborate with cross-functional teams including data engineers, business analysts, and product managers to define project requirements and deliver actionable insights.

- Conduct exploratory data analysis to identify trends, patterns, and outliers in data, and communicate findings to stakeholders.

- Stay current with industry trends and advancements in machine learning and data science techniques and provide recommendations for adopting new technologies and methodologies.

- Mentor junior data scientists and provide guidance on best practices for data analysis, model development, and presentation of results.

- Work closely with stakeholders to understand business objectives and develop data-driven solutions to address their needs.

- Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.

- Lead by example in fostering a culture of innovation, collaboration, and continuous learning within the data science team.

Skills, Qualifications, and minimum Experience :

- Master's or PHD in CSE/Mathematics/Statistics

- Minimum of 7 years of experience in data science or related field, with a proven track record of delivering impactful analytics solutions

- Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g, pandas, NumPy, scikit-learn)

- Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning etc.

- Experience with big data technologies with In-depth understanding of SQL.

- Expert in creating data models, data structures and algorithms.

- Excellent problem-solving skills and the ability to work with large, complex datasets.

- Outstanding supervision and mentorship abilities with the ability to lead and mentor junior data scientists and drive projects to successful completion.

- Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.

- Strong interpersonal and communication skills, with the ability to collaborate effectively with crossfunctional teams and communicate technical concepts to non-technical stakeholders.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.

- Familiarity with agile development methodologies and experience working in a fast-paced, dynamic environment