Synechron | Hiring | Data Scientist | BigDataKB.com | 2022-09-27

Job Location: Bengaluru, Karnataka, India

Data Scientist

As a Data Scientist, you will work on incorporating the latest technological innovations within the organization and provide thought leadership to help solve complex AI and Data Science challenges. You should be familiar with production software and highly experienced in the full Machine Learning Lifecycle. While not required, prior experience in the BFSI domain is preferred.

Exp.Level: 3-5 Yrs

Role and Responsibilities: 

We are seeking Data Scientists to join our Data Science team. Team members in this role will identify and address complex business problems, design and drive the creation of new data products and analytical capabilities embedded in multiple business applications.

 

Qualified candidates will also gather and analyze large volumes of data, evaluate scenarios to make predictions on future outcomes and support decision making for the business. Candidates must be able to use advanced statistical data modeling techniques and tools. Lastly, candidates are expected to be able to design experiments and measure impact, synthesize and communicate insights and provide recommendations for improvement in products and processes.

 

In this role you will:

ยท        Use business acumen and analytical skills to identify opportunities, estimate potential, layout strategy roadmaps to solve complex business problems

ยท        Be responsible for using analytic techniques like Machine learning, Natural Language Processing and advanced data visualizations to improve customersโ€™ experiences

ยท        Deploy ML solutions in production environment

ยท        Design statistical tests for product experiments, measure impact, derive insights and provide recommendations

ยท        Work closely with product managers to identify and answer important product questions that help improve outcomes

ยท        Interpret problems and provide solutions using appropriate data modeling techniques

ยท        Develop prototypes for new data product ideas

ยท        Design large scale models using techniques such as Linear & Logistic Regression, KNN, KMeans, SVM, Supervised & Unsupervised Learning, Decision Trees, Conjoint Analysis, Spatial models, Time-series models, Graph Algorithms, Recommender Systems and other classical Machine Learning algorithms and Deep Learning algorithms using Multilayer Perceptron, RNN, CNN and LSTM

ยท        Utilize Natural Language Processing to analyze speech and social data

ยท        Drive the collection of new data and the refinement of existing data

ยท        Regularly invent new and novel approaches to problems; take initiative and break down barriers to solve problems; be recognized within team as the source of solutions

ยท        Manipulate and analyze complex, high-volume, high-dimensionality data from multiple sources

ยท        Bring a strong passion for empirical research and for answering hard questions with data

ยท        Communicate complex quantitative analysis in a clear, precise, and actionable manner 

ยท        Degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field

 

Hereโ€™s what youโ€™ll bring to the team

ยท        Degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field

ยท        Machine Learning, Deep Learning, NLP experience and also working in Hadoop and/or Spark environment

ยท        Knowledge in Hypothesis testing, Statistical Methods, Sampling Theory, Experimental Design

ยท        Familiarity with common advanced analysis tools – SQL, Python, R are preferred

ยท        Demonstrated familiarity (work experience, GitHub account) with OOP concepts. Python, Java, Scala skills is a big plus

ยท        Ability to ask and tackle the most important analytical questions with a view on driving product impact

ยท        A motivated, focused, and self-starter mentality with effective communication skills, and amazing follow-through

ยท        You embrace your work and love the responsibility of being individually empowered

ยท        Experience with digital audio signal processing and Image processing is a plus

BFSI Domain working experience is nice to have

Why Synechron:

ยท        A highly competitive compensation and benefits package

ยท        A multinational organization with offices in 17 global locations and the possibility to work abroad

ยท        Short- and long-term international travel

ยท        Well-balanced Public Holiday Calendar + Earned Leaves

ยท        Sick & Hospitalization Leaves

ยท        Paid Maternity Leave (ML) & Paternal Leave (PL) Plans

ยท        Child Adoption Leave (CAL) & Bonus

ยท        Extended Unpaid Leave (UL) Plans

ยท        Internet Allowance (for working-from-home employees)

ยท        Relocation Benefits

ยท        Per-Diem allowance for Short Travel and Transfer

ยท        Comprehensive Insurance benefits, including: Group Medical Health Insurance (INR 5L), Group Personal Accidental Insurance (INR 15L), Term Life Insurance (INR 15L), Ex-Gratia amount paid by Company (INR 25L)

ยท        Training/Certification/Higher Education Policy

ยท        Employee Provident Fund (EPF)

ยท        Coaching opportunities with experienced colleagues from our FinLabs and Center of Excellences (CoE) groups

ยท        Cutting edge projects at the worldโ€™s leading tier-one banks, financial institutions and insurance firms

ยท        A flat and approachable organization

ยท        Regular CSR and employee care programs

ยท        Fun-Zones across facilities: X-Box gaming zone, pool table, fun-networking events, gym, yoga, Zumba, and aerobics classes, etc. at our facilities

ยท        A truly diverse, fun-loving, and global work culture

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative โ€˜Same Differenceโ€™ is committed to fostering an inclusive culture โ€“ promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicantโ€™s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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